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63
packages/web/src/content/docs/ar/go.mdx
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@ -65,6 +65,8 @@ OpenCode Go حاليًا في المرحلة التجريبية.
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
قد تتغير قائمة النماذج مع استمرارنا في اختبار نماذج جديدة وإضافتها.
@ -82,25 +84,28 @@ OpenCode Go حاليًا في المرحلة التجريبية.
يوضح الجدول أدناه عددًا تقديريًا للطلبات بناءً على أنماط استخدام Go المعتادة:
| Model | الطلبات لكل 5 ساعات | الطلبات في الأسبوع | الطلبات في الشهر |
| ------------- | ------------------- | ------------------ | ---------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | الطلبات لكل 5 ساعات | الطلبات في الأسبوع | الطلبات في الشهر |
| ----------------- | ------------------- | ------------------ | ---------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
تستند التقديرات إلى متوسطات أنماط الطلبات المرصودة:
- GLM-5/5.1 — ‏700 input، و52,000 cached، و150 output tokens لكل طلب
- Kimi K2.5/K2.6 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — ‏300 input، و55,000 cached، و125 output tokens لكل طلب
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -129,20 +134,22 @@ OpenCode Go حاليًا في المرحلة التجريبية.
يمكنك أيضًا الوصول إلى نماذج Go عبر نقاط نهاية API التالية.
| Model | Model ID | Endpoint | AI SDK Package |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K2.6، ستستخدم `opencode-go/kimi-k2.6` في إعداداتك.

2
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@ -575,7 +575,7 @@ OpenCode Go هي خطة اشتراك منخفضة التكلفة توفّر وص
└ enter
```
4. شغّل الأمر `/models` لاختيار نموذج من DeepSeek مثل _DeepSeek Reasoner_.
4. شغّل الأمر `/models` لاختيار نموذج من DeepSeek مثل _DeepSeek V4 Pro_.
```txt
/models

10
packages/web/src/content/docs/ar/zen.mdx
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@ -59,6 +59,8 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| النموذج | معرّف النموذج | نقطة النهاية | حزمة AI SDK |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -99,7 +101,7 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.4، ستستخدم `opencode/gpt-5.4` في إعداداتك.
يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.5، ستستخدم `opencode/gpt-5.5` في إعداداتك.
---
@ -146,7 +148,11 @@ https://opencode.ai/zen/v1/models
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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@ -75,6 +75,8 @@ Trenutna lista modela uključuje:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
Lista modela se može mijenjati dok testiramo i dodajemo nove.
@ -92,25 +94,28 @@ Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni br
Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca korištenja Go pretplate:
| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
| ------------- | ------------------ | ----------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
| ----------------- | ------------------ | ----------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
- GLM-5/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
- Kimi K2.5/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -141,20 +146,22 @@ nakon što dostignete ograničenja upotrebe umjesto blokiranja zahtjeva.
Također možete pristupiti Go modelima putem sljedećih API endpointa.
| Model | Model ID | Endpoint | AI SDK Paket |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | Model ID | Endpoint | AI SDK Paket |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[Model id](/docs/config/#models) u vašoj OpenCode konfiguraciji
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K2.6, koristili biste

2
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@ -580,7 +580,7 @@ Također možete dodati modele kroz svoju opencode konfiguraciju.
└ enter
```
4. Pokrenite naredbu `/models` da odaberete DeepSeek model kao što je _DeepSeek Reasoner_.
4. Pokrenite naredbu `/models` da odaberete DeepSeek model kao što je _DeepSeek V4 Pro_.
```txt
/models

12
packages/web/src/content/docs/bs/zen.mdx
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@ -64,6 +64,8 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Model | Model ID | Endpoint | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) u vašoj OpenCode konfiguraciji koristi format
`opencode/<model-id>`. Na primjer, za GPT 5.4 u konfiguraciji biste
koristili `opencode/gpt-5.4`.
`opencode/<model-id>`. Na primjer, za GPT 5.5 u konfiguraciji biste
koristili `opencode/gpt-5.5`.
---
@ -153,7 +155,11 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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@ -75,6 +75,8 @@ Den nuværende liste over modeller inkluderer:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
Listen over modeller kan ændre sig, efterhånden som vi tester og tilføjer nye.
@ -92,25 +94,28 @@ Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmod
Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-forbrugsmønstre:
| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
| ------------- | ----------------------- | ------------------- | --------------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
| ----------------- | ----------------------- | ------------------- | --------------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
- GLM-5/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
- Kimi K2.5/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -141,20 +146,22 @@ når du har nået dine forbrugsgrænser, i stedet for at blokere anmodninger.
Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| Model | Model ID | Endpoint | AI SDK Package |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
Dit [model id](/docs/config/#models) i din OpenCode config
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K2.6, vil du

2
packages/web/src/content/docs/da/providers.mdx
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@ -571,7 +571,7 @@ Cloudflare AI Gateway lader dig få adgang til modeller fra OpenAI, Anthropic, W
└ enter
```
4. Kør kommandoen `/models` for at vælge en DeepSeek-model som _DeepSeek Reasoner_.
4. Kør kommandoen `/models` for at vælge en DeepSeek-model som _DeepSeek V4 Pro_.
```txt
/models

12
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@ -64,6 +64,8 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Model | Model ID | Endpoint | AI SDK-pakke |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) i din OpenCode-konfiguration
bruger formatet `opencode/<model-id>`. For eksempel ville du for GPT 5.4
bruge `opencode/gpt-5.4` i din konfiguration.
bruger formatet `opencode/<model-id>`. For eksempel ville du for GPT 5.5
bruge `opencode/gpt-5.5` i din konfiguration.
---
@ -153,7 +155,11 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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View file

@ -67,6 +67,8 @@ Die aktuelle Liste der Modelle umfasst:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
Die Liste der Modelle kann sich ändern, während wir neue testen und hinzufügen.
@ -84,25 +86,28 @@ Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anza
Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf typischen Go-Nutzungsmustern:
| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
| ------------- | ---------------------- | ------------------ | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
| ----------------- | ---------------------- | ------------------ | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
- GLM-5/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
- Kimi K2.5/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -131,20 +136,22 @@ Wenn du auch Guthaben auf deinem Zen-Konto hast, kannst du in der Console die Op
Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| Modell | Modell-ID | Endpunkt | AI SDK Package |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Modell | Modell-ID | Endpunkt | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K2.6 würdest du beispielsweise `opencode-go/kimi-k2.6` in deiner Config verwenden.

2
packages/web/src/content/docs/de/providers.mdx
View file

@ -577,7 +577,7 @@ Mit dem Cloudflare AI Gateway können Sie über einen einheitlichen Endpunkt auf
└ enter
```
4. Führen Sie den Befehl `/models` aus, um ein DeepSeek-Modell wie _DeepSeek Reasoner_ auszuwählen.
4. Führen Sie den Befehl `/models` aus, um ein DeepSeek-Modell wie _DeepSeek V4 Pro_ auszuwählen.
```txt
/models

10
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View file

@ -55,6 +55,8 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Model | Model ID | Endpoint | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -95,7 +97,7 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/<model-id>`. Für GPT 5.4 würdest du zum Beispiel `opencode/gpt-5.4` in deiner Konfiguration verwenden.
Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/<model-id>`. Für GPT 5.5 würdest du zum Beispiel `opencode/gpt-5.5` in deiner Konfiguration verwenden.
---
@ -142,7 +144,11 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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View file

@ -75,6 +75,8 @@ La lista actual de modelos incluye:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
La lista de modelos puede cambiar a medida que probamos y agregamos otros nuevos.
@ -92,25 +94,28 @@ Los límites se definen en valor en dólares. Esto significa que tu cantidad rea
La siguiente tabla proporciona una cantidad estimada de peticiones basada en los patrones típicos de uso de Go:
| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
| ------------- | ---------------------- | --------------------- | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
| ----------------- | ---------------------- | --------------------- | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Las estimaciones se basan en los patrones de peticiones promedio observados:
- GLM-5/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
- Kimi K2.5/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -141,20 +146,22 @@ después de que hayas alcanzado tus límites de uso en lugar de bloquear las pet
También puedes acceder a los modelos de Go a través de los siguientes endpoints de la API.
| Modelo | ID del modelo | Endpoint | Paquete de AI SDK |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Modelo | ID del modelo | Endpoint | Paquete de AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
El [ID del modelo](/docs/config/#models) en tu configuración de OpenCode
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K2.6, usarías

2
packages/web/src/content/docs/es/providers.mdx
View file

@ -578,7 +578,7 @@ Cloudflare AI Gateway le permite acceder a modelos de OpenAI, Anthropic, Workers
└ enter
```
4. Ejecute el comando `/models` para seleccionar un modelo de DeepSeek como _DeepSeek Reasoner_.
4. Ejecute el comando `/models` para seleccionar un modelo de DeepSeek como _DeepSeek V4 Pro_.
```txt
/models

12
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View file

@ -64,6 +64,8 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Modelo | Model ID | Endpoint | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
El [identificador del modelo](/docs/config/#models) en tu configuración de OpenCode
usa el formato `opencode/<model-id>`. Por ejemplo, para GPT 5.4, usarías
`opencode/gpt-5.4` en tu configuración.
usa el formato `opencode/<model-id>`. Por ejemplo, para GPT 5.5, usarías
`opencode/gpt-5.5` en tu configuración.
---
@ -153,7 +155,11 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
packages/web/src/content/docs/fr/go.mdx
View file

@ -65,6 +65,8 @@ La liste actuelle des modèles comprend :
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
La liste des modèles peut changer au fur et à mesure que nous en testons et en ajoutons de nouveaux.
@ -82,25 +84,28 @@ Les limites sont définies en valeur monétaire (dollars). Cela signifie que vot
Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur des modèles d'utilisation typiques de Go :
| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
| ------------- | --------------------- | -------------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
| ----------------- | --------------------- | -------------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Les estimations sont basées sur les modèles de requêtes moyens observés :
- GLM-5/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
- Kimi K2.5/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -129,20 +134,22 @@ Si vous avez également des crédits sur votre solde Zen, vous pouvez activer l'
Vous pouvez également accéder aux modèles Go via les points de terminaison d'API suivants.
| Modèle | ID de modèle | Point de terminaison | Package AI SDK |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Modèle | ID de modèle | Point de terminaison | Package AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K2.6, vous utiliseriez `opencode-go/kimi-k2.6` dans votre configuration.

2
packages/web/src/content/docs/fr/providers.mdx
View file

@ -581,7 +581,7 @@ Vous pouvez également ajouter des modèles via votre configuration opencode.
└ enter
```
4. Exécutez la commande `/models` pour sélectionner un modèle DeepSeek tel que _DeepSeek Reasoner_.
4. Exécutez la commande `/models` pour sélectionner un modèle DeepSeek tel que _DeepSeek V4 Pro_.
```txt
/models

10
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View file

@ -55,6 +55,8 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Modèle | ID du modèle | Point de terminaison | Package AI SDK |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -95,7 +97,7 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/<model-id>`. Par exemple, pour GPT 5.4, vous utiliseriez `opencode/gpt-5.4` dans votre configuration.
Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/<model-id>`. Par exemple, pour GPT 5.5, vous utiliseriez `opencode/gpt-5.5` dans votre configuration.
---
@ -142,7 +144,11 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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View file

@ -75,6 +75,8 @@ The current list of models includes:
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
The list of models may change as we test and add new ones.
@ -92,25 +94,28 @@ Limits are defined in dollar value. This means your actual request count depends
The table below provides an estimated request count based on typical Go usage patterns:
| Model | requests per 5 hour | requests per week | requests per month |
| ------------- | ------------------- | ----------------- | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | requests per 5 hour | requests per week | requests per month |
| ----------------- | ------------------- | ----------------- | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Estimates are based on observed average request patterns:
- GLM-5/5.1 — 700 input, 52,000 cached, 150 output tokens per request
- Kimi K2.5/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
- MiMo-V2-Pro — 350 input, 41,000 cached, 250 output tokens per request
- MiMo-V2-Omni — 1000 input, 60,000 cached, 140 output tokens per request
@ -141,20 +146,22 @@ after you've reached your usage limits instead of blocking requests.
You can also access Go models through the following API endpoints.
| Model | Model ID | Endpoint | AI SDK Package |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
The [model id](/docs/config/#models) in your OpenCode config
uses the format `opencode-go/<model-id>`. For example, for Kimi K2.6, you would

63
packages/web/src/content/docs/it/go.mdx
View file

@ -73,6 +73,8 @@ L'elenco attuale dei modelli include:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
L'elenco dei modelli potrebbe cambiare man mano che ne testiamo e aggiungiamo di nuovi.
@ -90,25 +92,28 @@ I limiti sono definiti in valore in dollari. Questo significa che il conteggio e
La tabella seguente fornisce una stima del conteggio delle richieste in base a pattern di utilizzo tipici di Go:
| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
| ------------- | -------------------- | --------------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
| ----------------- | -------------------- | --------------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Le stime si basano sui pattern medi di richieste osservati:
- GLM-5/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
- Kimi K2.5/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -139,20 +144,22 @@ dopo che avrai raggiunto i limiti di utilizzo invece di bloccare le richieste.
Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
Il [model id](/docs/config/#models) nella tua OpenCode config
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K2.6, useresti

2
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View file

@ -555,7 +555,7 @@ Cloudflare AI Gateway ti permette di accedere a modelli di OpenAI, Anthropic, Wo
└ enter
```
4. Esegui il comando `/models` per selezionare un modello DeepSeek come _DeepSeek Reasoner_.
4. Esegui il comando `/models` per selezionare un modello DeepSeek come _DeepSeek V4 Pro_.
```txt
/models

12
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View file

@ -64,6 +64,8 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Modello | Model ID | Endpoint | Pacchetto AI SDK |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Il [model id](/docs/config/#models) nella config di OpenCode
usa il formato `opencode/<model-id>`. Per esempio, per GPT 5.4, useresti
`opencode/gpt-5.4` nella tua config.
usa il formato `opencode/<model-id>`. Per esempio, per GPT 5.5, useresti
`opencode/gpt-5.5` nella tua config.
---
@ -153,7 +155,11 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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@ -65,6 +65,8 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
新しいモデルをテストして追加するにつれて、モデルのリストは変更される場合があります。
@ -82,25 +84,28 @@ OpenCode Goには以下の制限が含まれています：
以下の表は、一般的なGoの利用パターンに基づいた推定リクエスト数を示しています：
| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
| ------------- | ------------------------- | ---------------- | ---------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
| ----------------- | ------------------------- | ---------------- | ---------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
推定値は、観測された平均的なリクエストパターンに基づいています：
- GLM-5/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
- Kimi K2.5/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -129,20 +134,22 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
以下のAPIエンドポイントを通じて、Goモデルにアクセスすることもできます。
| Model | Model ID | Endpoint | AI SDK Package |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
OpenCode設定の[model id](/docs/config/#models)は、`opencode-go/<model-id>`という形式を使用します。たとえば、Kimi K2.6の場合は、設定で`opencode-go/kimi-k2.6`を使用します。

2
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View file

@ -585,7 +585,7 @@ OpenCode 設定を通じてモデルを追加することもできます。
└ enter
```
4. `/models` コマンドを実行して、_DeepSeek Reasoner_ のような DeepSeek モデルを選択します。
4. `/models` コマンドを実行して、_DeepSeek V4 Pro_ のような DeepSeek モデルを選択します。
```txt
/models

10
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View file

@ -55,6 +55,8 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Model | Model ID | Endpoint | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -95,7 +97,7 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/<model-id>` 形式です。たとえば、GPT 5.4 では設定に `opencode/gpt-5.4` を使用します。
OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/<model-id>` 形式です。たとえば、GPT 5.5 では設定に `opencode/gpt-5.5` を使用します。
---
@ -142,7 +144,11 @@ https://opencode.ai/zen/v1/models
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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@ -65,6 +65,8 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
새로운 모델을 테스트하고 추가함에 따라 이 목록은 변경될 수 있습니다.
@ -82,25 +84,28 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
아래 표는 일반적인 Go 사용 패턴을 기준으로 한 예상 요청 횟수를 보여줍니다.
| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
| ------------- | ----------------- | -------------- | -------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
| ----------------- | ----------------- | -------------- | -------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
예상치는 관찰된 평균 요청 패턴을 기준으로 합니다.
- GLM-5/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
- Kimi K2.5/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -129,20 +134,22 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
다음 API 엔드포인트를 통해서도 Go 모델에 액세스할 수 있습니다.
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K2.6의 경우 config에서 `opencode-go/kimi-k2.6`를 사용하면 됩니다.

2
packages/web/src/content/docs/ko/providers.mdx
View file

@ -581,7 +581,7 @@ Cloudflare AI Gateway는 OpenAI, Anthropic, Workers AI 등의 모델에 액세
└ enter
```
4. `/models` 명령을 실행하여 DeepSeek 모델(예: _DeepSeek Reasoner_)을 선택하십시오.
4. `/models` 명령을 실행하여 DeepSeek 모델(예: _DeepSeek V4 Pro_)을 선택하십시오.
```txt
/models

10
packages/web/src/content/docs/ko/zen.mdx
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@ -55,6 +55,8 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -95,7 +97,7 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode config에서 사용하는 [모델 ID](/docs/config/#models)는 `opencode/<model-id>` 형식입니다. 예를 들어 GPT 5.4를 사용하려면 config에서 `opencode/gpt-5.4`를 사용하면 됩니다.
OpenCode config에서 사용하는 [모델 ID](/docs/config/#models)는 `opencode/<model-id>` 형식입니다. 예를 들어 GPT 5.5를 사용하려면 config에서 `opencode/gpt-5.5`를 사용하면 됩니다.
---
@ -142,7 +144,11 @@ https://opencode.ai/zen/v1/models
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

3
packages/web/src/content/docs/lsp.mdx
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@ -16,7 +16,7 @@ OpenCode comes with several built-in LSP servers for popular languages:
| astro | .astro | Auto-installs for Astro projects |
| bash | .sh, .bash, .zsh, .ksh | Auto-installs bash-language-server |
| clangd | .c, .cpp, .cc, .cxx, .c++, .h, .hpp, .hh, .hxx, .h++ | Auto-installs for C/C++ projects |
| csharp | .cs | `.NET SDK` installed |
| csharp | .cs, .csx | `.NET SDK` installed |
| clojure-lsp | .clj, .cljs, .cljc, .edn | `clojure-lsp` command available |
| dart | .dart | `dart` command available |
| deno | .ts, .tsx, .js, .jsx, .mjs | `deno` command available (auto-detects deno.json/deno.jsonc) |
@ -36,6 +36,7 @@ OpenCode comes with several built-in LSP servers for popular languages:
| php intelephense | .php | Auto-installs for PHP projects |
| prisma | .prisma | `prisma` command available |
| pyright | .py, .pyi | `pyright` dependency installed |
| razor | .razor, .cshtml | `.NET SDK` and VS Code C# extension installed |
| ruby-lsp (rubocop) | .rb, .rake, .gemspec, .ru | `ruby` and `gem` commands available |
| rust | .rs | `rust-analyzer` command available |
| sourcekit-lsp | .swift, .objc, .objcpp | `swift` installed (`xcode` on macOS) |

63
packages/web/src/content/docs/nb/go.mdx
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@ -75,6 +75,8 @@ Den nåværende listen over modeller inkluderer:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
Listen over modeller kan endres etter hvert som vi tester og legger til nye.
@ -92,25 +94,28 @@ Grensene er definert i dollarverdi. Dette betyr at ditt faktiske antall forespø
Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksmønstre for Go:
| Model | forespørsler per 5 timer | forespørsler per uke | forespørsler per måned |
| ------------- | ------------------------ | -------------------- | ---------------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | forespørsler per 5 timer | forespørsler per uke | forespørsler per måned |
| ----------------- | ------------------------ | -------------------- | ---------------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
- GLM-5/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
- Kimi K2.5/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -141,20 +146,22 @@ etter at du har nådd bruksgrensene dine, i stedet for å blokkere forespørsler
Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| Modell | Modell-ID | Endepunkt | AI SDK Package |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Modell | Modell-ID | Endepunkt | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[Modell-ID-en](/docs/config/#models) i din OpenCode-konfigurasjon
bruker formatet `opencode-go/<model-id>`. For eksempel, for Kimi K2.6, vil du

2
packages/web/src/content/docs/nb/providers.mdx
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@ -579,7 +579,7 @@ Cloudflare AI Gateway lar deg få tilgang til modeller fra OpenAI, Anthropic, Wo
└ enter
```
4. Kjør kommandoen `/models` for å velge en DeepSeek-modell som _DeepSeek Reasoner_.
4. Kjør kommandoen `/models` for å velge en DeepSeek-modell som _DeepSeek V4 Pro_.
```txt
/models

12
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@ -64,6 +64,8 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Modell | Modell-ID | Endepunkt | AI SDK-pakke |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[modell-id](/docs/config/#models) i OpenCode-konfigurasjonen din
bruker formatet `opencode/<model-id>`. For eksempel, for GPT 5.4, ville du
brukt `opencode/gpt-5.4` i konfigurasjonen din.
bruker formatet `opencode/<model-id>`. For eksempel, for GPT 5.5, ville du
brukt `opencode/gpt-5.5` i konfigurasjonen din.
---
@ -153,7 +155,11 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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@ -69,6 +69,8 @@ Obecna lista modeli obejmuje:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
Lista modeli może ulec zmianie w miarę testowania i dodawania nowych.
@ -86,25 +88,28 @@ Limity są zdefiniowane w wartości w dolarach. Oznacza to, że rzeczywista licz
Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych wzorców korzystania z Go:
| Model | żądania na 5 godzin | żądania na tydzień | żądania na miesiąc |
| ------------- | ------------------- | ------------------ | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | żądania na 5 godzin | żądania na tydzień | żądania na miesiąc |
| ----------------- | ------------------- | ------------------ | ------------------ |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Szacunki opierają się na zaobserwowanych średnich wzorcach żądań:
- GLM-5/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
- Kimi K2.5/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -133,20 +138,22 @@ Jeśli masz również środki na swoim saldzie Zen, możesz włączyć opcję **
Możesz również uzyskać dostęp do modeli Go za pośrednictwem następujących punktów końcowych API.
| Model | ID modelu | Punkt końcowy | Pakiet AI SDK |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | ID modelu | Punkt końcowy | Pakiet AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode
używa formatu `opencode-go/<model-id>`. Na przykład dla Kimi K2.6 należy użyć

2
packages/web/src/content/docs/pl/providers.mdx
View file

@ -577,7 +577,7 @@ Cloudflare AI Gateway umożliwia dostęp do modeli z OpenAI, Anthropic, Workers
└ enter
```
4. Uruchom polecenie `/models`, aby wybrać model DeepSeek, np. _DeepSeek Reasoner_.
4. Uruchom polecenie `/models`, aby wybrać model DeepSeek, np. _DeepSeek V4 Pro_.
```txt
/models

12
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View file

@ -64,6 +64,8 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Model | ID modelu | Endpoint | Pakiet AI SDK |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode używa formatu
`opencode/<model-id>`. Na przykład dla GPT 5.4 użyjesz w konfiguracji
`opencode/gpt-5.4`.
`opencode/<model-id>`. Na przykład dla GPT 5.5 użyjesz w konfiguracji
`opencode/gpt-5.5`.
---
@ -153,7 +155,11 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

2
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@ -648,7 +648,7 @@ Cloudflare Workers AI lets you run AI models on Cloudflare's global network dire
└ enter
```
4. Run the `/models` command to select a DeepSeek model like _DeepSeek Reasoner_.
4. Run the `/models` command to select a DeepSeek model like _DeepSeek V4 Pro_.
```txt
/models

63
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View file

@ -75,6 +75,8 @@ A lista atual de modelos inclui:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
A lista de modelos pode mudar conforme testamos e adicionamos novos.
@ -92,25 +94,28 @@ Os limites são definidos em valor em dólares. Isso significa que a sua contage
A tabela abaixo fornece uma contagem estimada de requisições com base nos padrões típicos de uso do Go:
| Model | requisições por 5 horas | requisições por semana | requisições por mês |
| ------------- | ----------------------- | ---------------------- | ------------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | requisições por 5 horas | requisições por semana | requisições por mês |
| ----------------- | ----------------------- | ---------------------- | ------------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
As estimativas baseiam-se nos padrões médios de requisições observados:
- GLM-5/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
- Kimi K2.5/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -141,20 +146,22 @@ após você atingir os seus limites de uso em vez de bloquear as requisições.
Você também pode acessar os modelos do Go através dos seguintes endpoints de API.
| Modelo | ID do Modelo | Endpoint | Pacote do AI SDK |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Modelo | ID do Modelo | Endpoint | Pacote do AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
O [ID do modelo](/docs/config/#models) na sua configuração do OpenCode
usa o formato `opencode-go/<model-id>`. Por exemplo, para o Kimi K2.6, você usaria

2
packages/web/src/content/docs/pt-br/providers.mdx
View file

@ -581,7 +581,7 @@ O Cloudflare AI Gateway permite que você acesse modelos do OpenAI, Anthropic, W
└ enter
```
4. Execute o comando `/models` para selecionar um modelo DeepSeek como _DeepSeek Reasoner_.
4. Execute o comando `/models` para selecionar um modelo DeepSeek como _DeepSeek V4 Pro_.
```txt
/models

10
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View file

@ -55,6 +55,8 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Modelo | ID do modelo | Endpoint | Pacote AI SDK |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -95,7 +97,7 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
O [model id](/docs/config/#models) na sua configuração do OpenCode usa o formato `opencode/<model-id>`. Por exemplo, para GPT 5.4, você usaria `opencode/gpt-5.4` na sua configuração.
O [model id](/docs/config/#models) na sua configuração do OpenCode usa o formato `opencode/<model-id>`. Por exemplo, para GPT 5.5, você usaria `opencode/gpt-5.5` na sua configuração.
---
@ -142,7 +144,11 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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View file

@ -75,6 +75,8 @@ OpenCode Go работает так же, как и любой другой пр
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
Список моделей может меняться по мере того, как мы тестируем и добавляем новые.
@ -92,25 +94,28 @@ OpenCode Go включает следующие лимиты:
В таблице ниже приведено примерное количество запросов на основе типичных сценариев использования Go:
| Model | запросов за 5 часов | запросов в неделю | запросов в месяц |
| ------------- | ------------------- | ----------------- | ---------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | запросов за 5 часов | запросов в неделю | запросов в месяц |
| ----------------- | ------------------- | ----------------- | ---------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Оценки основаны на наблюдаемых средних показателях запросов:
- GLM-5/5.1 — 700 входных, 52,000 кешированных, 150 выходных токенов на запрос
- Kimi K2.5/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -141,20 +146,22 @@ OpenCode Go включает следующие лимиты:
Вы также можете получить доступ к моделям Go через следующие API-эндпоинты.
| Модель | ID модели | Эндпоинт | Пакет AI SDK |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Модель | ID модели | Эндпоинт | Пакет AI SDK |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[ID модели](/docs/config/#models) в вашем конфиге OpenCode
использует формат `opencode-go/<model-id>`. Например, для Kimi K2.6 вам нужно

2
packages/web/src/content/docs/ru/providers.mdx
View file

@ -577,7 +577,7 @@ Cloudflare AI Gateway позволяет вам получать доступ к
└ enter
```
4. Запустите команду `/models`, чтобы выбрать модель DeepSeek, например _DeepSeek Reasoner_.
4. Запустите команду `/models`, чтобы выбрать модель DeepSeek, например _DeepSeek V4 Pro_.
```txt
/models

12
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@ -64,6 +64,8 @@ OpenCode Zen работает как любой другой провайдер
| Модель | Идентификатор модели | Конечная точка | Пакет AI SDK |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ OpenCode Zen работает как любой другой провайдер
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[идентификатор модели](/docs/config/#models) в вашей конфигурации OpenCode
использует формат `opencode/<model-id>`. Например, для GPT 5.4 вам нужно
использовать `opencode/gpt-5.4` в своей конфигурации.
использует формат `opencode/<model-id>`. Например, для GPT 5.5 вам нужно
использовать `opencode/gpt-5.5` в своей конфигурации.
---
@ -153,7 +155,11 @@ https://opencode.ai/zen/v1/models
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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@ -65,6 +65,8 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
รายชื่อโมเดลอาจมีการเปลี่ยนแปลงเมื่อเราทำการทดสอบและเพิ่มโมเดลใหม่ๆ
@ -82,25 +84,28 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
ตารางด้านล่างแสดงจำนวน request โดยประมาณตามรูปแบบการใช้งานปกติของ Go:
| Model | requests ต่อ 5 ชั่วโมง | requests ต่อสัปดาห์ | requests ต่อเดือน |
| ------------- | ---------------------- | ------------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | requests ต่อ 5 ชั่วโมง | requests ต่อสัปดาห์ | requests ต่อเดือน |
| ----------------- | ---------------------- | ------------------- | ----------------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
การประมาณการอ้างอิงจากรูปแบบการใช้งาน request โดยเฉลี่ยที่สังเกตพบ:
- GLM-5/5.1 — 700 input, 52,000 cached, 150 output tokens ต่อ request
- Kimi K2.5/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -129,20 +134,22 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
คุณสามารถเข้าถึงโมเดลของ Go ผ่าน API endpoints ต่อไปนี้ได้เช่นกัน
| Model | Model ID | Endpoint | AI SDK Package |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | Model ID | Endpoint | AI SDK Package |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณจะใช้รูปแบบ `opencode-go/<model-id>` ตัวอย่างเช่น สำหรับ Kimi K2.6 คุณจะใช้ `opencode-go/kimi-k2.6` ใน config ของคุณ

2
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View file

@ -577,7 +577,7 @@ Cloudflare AI Gateway ช่วยให้คุณเข้าถึงโม
└ enter
```
4. รันคำสั่ง `/models` เพื่อเลือกโมเดล DeepSeek เช่น _DeepSeek Reasoner_
4. รันคำสั่ง `/models` เพื่อเลือกโมเดล DeepSeek เช่น _DeepSeek V4 Pro_
```txt
/models

10
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@ -57,6 +57,8 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Model | Model ID | Endpoint | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -97,7 +99,7 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณใช้รูปแบบ `opencode/<model-id>` ตัวอย่างเช่น สำหรับ GPT 5.4 คุณจะใช้ `opencode/gpt-5.4` ใน config ของคุณ
[model id](/docs/config/#models) ใน OpenCode config ของคุณใช้รูปแบบ `opencode/<model-id>` ตัวอย่างเช่น สำหรับ GPT 5.5 คุณจะใช้ `opencode/gpt-5.5` ใน config ของคุณ
---
@ -144,7 +146,11 @@ https://opencode.ai/zen/v1/models
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
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@ -65,6 +65,8 @@ Mevcut model listesi şunları içerir:
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
Test edip yenilerini ekledikçe model listesi değişebilir.
@ -82,25 +84,28 @@ Limitler dolar değeri üzerinden belirlenmiştir. Bu, gerçek istek sayınızı
Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek sayısı sunmaktadır:
| Model | 5 saatte bir istek | haftalık istek | aylık istek |
| ------------- | ------------------ | -------------- | ----------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | 5 saatte bir istek | haftalık istek | aylık istek |
| ----------------- | ------------------ | -------------- | ----------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
Tahminler, gözlemlenen ortalama istek modellerine dayanmaktadır:
- GLM-5/5.1 — İstek başına 700 girdi, 52.000 önbelleğe alınmış, 150 çıktı token'ı
- Kimi K2.5/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -129,20 +134,22 @@ Eğer Zen bakiyenizde kredileriniz varsa, konsoldan **Bakiye kullan (Use balance
Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsiniz.
| Model | Model ID | Uç Nokta | AI SDK Paketi |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Model | Model ID | Uç Nokta | AI SDK Paketi |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) formatı `opencode-go/<model-id>` şeklindedir. Örneğin, Kimi K2.6 için yapılandırmanızda `opencode-go/kimi-k2.6` kullanmalısınız.

2
packages/web/src/content/docs/tr/providers.mdx
View file

@ -579,7 +579,7 @@ Cloudflare AI Gateway, OpenAI, Anthropic, Workers AI ve daha fazlasındaki model
└ enter
```
4. _DeepSeek Reasoner_ gibi bir DeepSeek modeli seçmek için `/models` komutunu çalıştırın.
4. _DeepSeek V4 Pro_ gibi bir DeepSeek modeli seçmek için `/models` komutunu çalıştırın.
```txt
/models

10
packages/web/src/content/docs/tr/zen.mdx
View file

@ -55,6 +55,8 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Model | Model ID | Endpoint | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -95,7 +97,7 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) `opencode/<model-id>` biçimini kullanır. Örneğin, GPT 5.4 için yapılandırmanızda `opencode/gpt-5.4` kullanırsınız.
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) `opencode/<model-id>` biçimini kullanır. Örneğin, GPT 5.5 için yapılandırmanızda `opencode/gpt-5.5` kullanırsınız.
---
@ -142,7 +144,11 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

12
packages/web/src/content/docs/zen.mdx
View file

@ -64,6 +64,8 @@ You can also access our models through the following API endpoints.
| Model | Model ID | Endpoint | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -105,8 +107,8 @@ You can also access our models through the following API endpoints.
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
The [model id](/docs/config/#models) in your OpenCode config
uses the format `opencode/<model-id>`. For example, for GPT 5.4, you would
use `opencode/gpt-5.4` in your config.
uses the format `opencode/<model-id>`. For example, for GPT 5.5, you would
use `opencode/gpt-5.5` in your config.
---
@ -153,7 +155,11 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
packages/web/src/content/docs/zh-cn/go.mdx
View file

@ -65,6 +65,8 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
随着我们进行测试和添加新模型，该列表可能会发生变化。
@ -82,25 +84,28 @@ OpenCode Go 包含以下限制：
下表提供了基于典型 Go 使用模式的预估请求数：
| Model | 每 5 小时请求数 | 每周请求数 | 每月请求数 |
| ------------- | --------------- | ---------- | ---------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | 每 5 小时请求数 | 每周请求数 | 每月请求数 |
| ----------------- | --------------- | ---------- | ---------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
预估值基于观察到的平均请求模式：
- GLM-5/5.1 — 每次请求 700 个输入 token，52,000 个缓存 token，150 个输出 token
- Kimi K2.5/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiMo-V2-Pro — 每次请求 350 个输入 token，41,000 个缓存 token，250 个输出 token
- MiMo-V2-Omni — 每次请求 1000 个输入 token，60,000 个缓存 token，140 个输出 token
- MiMo-V2.5-Pro — 每次请求 350 个输入 token，41,000 个缓存 token，250 个输出 token
@ -129,20 +134,22 @@ OpenCode Go 包含以下限制：
你也可以通过以下 API 端点访问 Go 模型。
| 模型 | 模型 ID | 端点 | AI SDK 包 |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| 模型 | 模型 ID | 端点 | AI SDK 包 |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
你 OpenCode 配置中的 [模型 ID](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，对于 Kimi K2.6，你将在配置中使用 `opencode-go/kimi-k2.6`。

2
packages/web/src/content/docs/zh-cn/providers.mdx
View file

@ -551,7 +551,7 @@ Cloudflare AI Gateway 允许你通过统一端点访问来自 OpenAI、Anthropic
└ enter
```
4. 执行 `/models` 命令选择 DeepSeek 模型，例如 _DeepSeek Reasoner_。
4. 执行 `/models` 命令选择 DeepSeek 模型，例如 _DeepSeek V4 Pro_。
```txt
/models

10
packages/web/src/content/docs/zh-cn/zen.mdx
View file

@ -55,6 +55,8 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| 模型 | 模型 ID | 端点 | AI SDK 包 |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -95,7 +97,7 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| Hy3 Preview Free | hy3-preview-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
在你的 OpenCode 配置中，[模型 ID](/docs/config/#models) 使用 `opencode/<model-id>` 格式。例如，对于 GPT 5.4，你需要在配置中使用 `opencode/gpt-5.4`。
在你的 OpenCode 配置中，[模型 ID](/docs/config/#models) 使用 `opencode/<model-id>` 格式。例如，对于 GPT 5.5，你需要在配置中使用 `opencode/gpt-5.5`。
---
@ -142,7 +144,11 @@ https://opencode.ai/zen/v1/models
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |

63
packages/web/src/content/docs/zh-tw/go.mdx
View file

@ -65,6 +65,8 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
隨著我們測試並加入新模型，模型清單可能會有所變動。
@ -82,25 +84,28 @@ OpenCode Go 包含以下限制：
下表提供了基於典型 Go 使用模式的預估請求次數：
| Model | 每 5 小時請求數 | 每週請求數 | 每月請求數 |
| ------------- | --------------- | ---------- | ---------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| Model | 每 5 小時請求數 | 每週請求數 | 每月請求數 |
| ----------------- | --------------- | ---------- | ---------- |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 | 2,150 | 5,450 | 10,900 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 1,300 | 3,250 | 6,500 |
| DeepSeek V4 Flash | 7,450 | 18,600 | 37,300 |
預估值是基於觀察到的平均請求模式：
- GLM-5/5.1 — 每次請求 700 個輸入 token、52,000 個快取 token、150 個輸出 token
- Kimi K2.5/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
- DeepSeek V4 Pro/Flash — 700 input, 52,000 cached, 150 output tokens per request
- MiniMax M2.7/M2.5 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@ -129,20 +134,22 @@ OpenCode Go 包含以下限制：
您也可以透過以下 API 端點存取 Go 模型。
| 模型 | 模型 ID | 端點 | AI SDK 套件 |
| ------------- | ------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| 模型 | 模型 ID | 端點 | AI SDK 套件 |
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM-5 | glm-5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |
您的 OpenCode 設定中的 [model id](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，Kimi K2.6 在設定中應使用 `opencode-go/kimi-k2.6`。

2
packages/web/src/content/docs/zh-tw/providers.mdx
View file

@ -572,7 +572,7 @@ Cloudflare AI Gateway 允許您透過統一端點存取來自 OpenAI、Anthropic
└ enter
```
4. 執行 `/models` 指令選擇 DeepSeek 模型，例如 _DeepSeek Reasoner_。
4. 執行 `/models` 指令選擇 DeepSeek 模型，例如 _DeepSeek V4 Pro_。
```txt
/models

10
packages/web/src/content/docs/zh-tw/zen.mdx
View file

@ -59,6 +59,8 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| 模型 | Model ID | 端點 | AI SDK Package |
| --------------------- | --------------------- | -------------------------------------------------- | --------------------------- |
| GPT 5.5 | gpt-5.5 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.5 Pro | gpt-5.5-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 | gpt-5.4 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Pro | gpt-5.4-pro | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
| GPT 5.4 Mini | gpt-5.4-mini | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
@ -100,7 +102,7 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定中的 [模型 ID](/docs/config/#models) 會使用 `opencode/<model-id>`
格式。例如，如果是 GPT 5.4，你會在設定中使用 `opencode/gpt-5.4`。
格式。例如，如果是 GPT 5.5，你會在設定中使用 `opencode/gpt-5.5`。
---
@ -147,7 +149,11 @@ https://opencode.ai/zen/v1/models
| Gemini 3.1 Pro (≤ 200K tokens) | $2.00 | $12.00 | $0.20 | - |
| Gemini 3.1 Pro (> 200K tokens) | $4.00 | $18.00 | $0.40 | - |
| Gemini 3 Flash | $0.50 | $3.00 | $0.05 | - |
| GPT 5.4 | $2.50 | $15.00 | $0.25 | - |
| GPT 5.5 (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | - |
| GPT 5.5 (> 272K tokens) | $10.00 | $45.00 | $1.00 | - |
| GPT 5.5 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 (≤ 272K tokens) | $2.50 | $15.00 | $0.25 | - |
| GPT 5.4 (> 272K tokens) | $5.00 | $22.50 | $0.50 | - |
| GPT 5.4 Pro | $30.00 | $180.00 | $30.00 | - |
| GPT 5.4 Mini | $0.75 | $4.50 | $0.075 | - |
| GPT 5.4 Nano | $0.20 | $1.25 | $0.02 | - |