go: grok 4.5 and kimi k3
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@ -49,8 +49,10 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
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تشمل قائمة النماذج الحالية:
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- **Grok 4.5**
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- **GLM-5.2**
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- **GLM-5.1**
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- **Kimi K3**
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- **Kimi K2.7 Code**
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- **Kimi K2.6**
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- **MiMo-V2.5**
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@ -81,10 +83,12 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
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| Model | الطلبات لكل 5 ساعات | الطلبات في الأسبوع | الطلبات في الشهر |
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| ----------------- | ------------------- | ------------------ | ---------------- |
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| Grok 4.5 | 80 | 190 | 380 |
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| GLM-5.2 | 880 | 2,150 | 4,300 |
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| GLM-5.1 | 880 | 2,150 | 4,300 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| Kimi K3 | 140 | 340 | 680 |
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| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
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| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
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| MiniMax M3 | 3,200 | 8,000 | 16,000 |
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@ -97,8 +101,9 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
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تستند التقديرات إلى متوسط أنماط الطلبات المرصودة:
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- Grok 4.5 — 1,100 input، و71,500 cached، و220 output tokens لكل طلب
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- GLM-5.2/5.1 — 700 input، و52,000 cached، و150 output tokens لكل طلب
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- Kimi K2.7 Code/K2.6 — 870 input، و55,000 cached، و200 output tokens لكل طلب
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- Kimi K3/K2.7/K2.6 — 870 input، و55,000 cached، و200 output tokens لكل طلب
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- DeepSeek V4 Pro — 750 input، و82,000 cached، و290 output tokens لكل طلب
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- DeepSeek V4 Flash — 790 input، و68,000 cached، و280 output tokens لكل طلب
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- MiniMax M3 — 510 input، و56,000 cached، و190 output tokens لكل طلب
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@ -109,26 +114,28 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
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- MiMo-V2.5 — 830 input، و71,500 cached، و295 output tokens لكل طلب
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- MiMo-V2.5-Pro — 790 input، و86,000 cached، و305 output tokens لكل طلب
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تستند التقديرات أيضًا إلى الأسعار التالية لكل 1M tokens:
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تستند التقديرات أيضًا إلى الأسعار التالية لكل 1M tokens والاستخدام الشهري المتضمن مع كل نموذج:
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| النموذج | الإدخال | الإخراج | القراءة المخزنة | الكتابة المخزنة |
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| ---------------------------- | ------- | ------- | --------------- | --------------- |
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| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
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| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
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| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
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| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
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| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
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| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
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| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
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| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
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| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
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| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
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| النموذج | الإدخال | الإخراج | القراءة المخزنة | الكتابة المخزنة | الاستخدام |
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| ---------------------------- | ------- | ------- | --------------- | --------------- | --------- |
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| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
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| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
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| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
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| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
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| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
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| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
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| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
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| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
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| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
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| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
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| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
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| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
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يمكنك تتبّع استخدامك الحالي في **<a href={console}>console</a>**.
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@ -146,14 +153,28 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
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---
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### لماذا يكون الاستخدام أقل لبعض النماذج
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مع Go، تدفع $10 شهريًا، ونهدف إلى منحك استخدامًا بقيمة تعادل 6 أضعاف هذا المبلغ.
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نحقق ذلك لمعظم النماذج من خلال الخصومات على الكميات الكبيرة وسعة GPU المحجوزة. ثم ننقل هذه الوفورات إليك من خلال معامل مضاعفة قدره 6.
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بالنسبة إلى بعض النماذج، لم تتح لنا فرصة التفاوض على خصم أو استضافتها بتكلفة أقل، إما لأن النموذج جديد أو لأن أسعاره العامة مخفضة بالفعل.
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بالنسبة إلى هذه النماذج، لا تزال تحصل على استخدام يزيد قليلًا عما ستحصل عليه إذا دفعت لمزودي النماذج مباشرةً؛ ولهذا يكون معامل مضاعفة استخدامها أقل في الجدول أعلاه.
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---
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## نقاط النهاية
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يمكنك أيضًا الوصول إلى نماذج Go عبر نقاط نهاية API التالية.
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| Model | Model ID | Endpoint | AI SDK Package |
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| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
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| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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@ -167,7 +188,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
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| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K2.7 Code، ستستخدم `opencode-go/kimi-k2.7-code` في إعداداتك.
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يستخدم [model id](/docs/config/#models) في إعدادات OpenCode لديك التنسيق `opencode-go/<model-id>`. على سبيل المثال، بالنسبة إلى Kimi K3، ستستخدم `opencode-go/kimi-k3` في إعداداتك.
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---
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@ -59,8 +59,10 @@ Samo jedan član po radnom prostoru (workspace) može se pretplatiti na OpenCode
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Trenutna lista modela uključuje:
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- **Grok 4.5**
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- **GLM-5.2**
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- **GLM-5.1**
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- **Kimi K3**
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- **Kimi K2.7 Code**
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- **Kimi K2.6**
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- **MiMo-V2.5**
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@ -91,10 +93,12 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
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| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
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| ----------------- | ------------------ | ----------------- | ----------------- |
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| Grok 4.5 | 80 | 190 | 380 |
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| GLM-5.2 | 880 | 2,150 | 4,300 |
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| GLM-5.1 | 880 | 2,150 | 4,300 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| Kimi K3 | 140 | 340 | 680 |
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| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
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| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
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| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
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| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
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| MiniMax M3 | 3,200 | 8,000 | 16,000 |
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@ -107,8 +111,9 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
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Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
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- Grok 4.5 — 1,100 ulaznih, 71,500 keširanih, 220 izlaznih tokena po zahtjevu
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- GLM-5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
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- Kimi K2.7 Code/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
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- Kimi K3/K2.7/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
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- DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
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- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
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- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
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@ -119,26 +124,28 @@ Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
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- MiMo-V2.5 — 830 ulaznih, 71,500 keširanih, 295 izlaznih tokena po zahtjevu
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- MiMo-V2.5-Pro — 790 ulaznih, 86,000 keširanih, 305 izlaznih tokena po zahtjevu
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Procjene se također zasnivaju na sljedećim cijenama po 1M tokena:
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Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj potrošnji uključenoj uz svaki model:
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| Model | Input | Output | Cached Read | Cached Write |
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| ---------------------------- | ----- | ------ | ----------- | ------------ |
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| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
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| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
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| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
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| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
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| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
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| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
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| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
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| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
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| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
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| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
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| Model | Input | Output | Cached Read | Cached Write | Potrošnja |
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| ---------------------------- | ----- | ------ | ----------- | ------------ | --------- |
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| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
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| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
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| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
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| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
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| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
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| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
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| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
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| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
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| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
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| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
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| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
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| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
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| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
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| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
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| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
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| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
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| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
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| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
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Svoju trenutnu potrošnju možete pratiti u **<a href={console}>konzoli</a>**.
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@ -158,14 +165,28 @@ nakon što dostignete ograničenja upotrebe umjesto blokiranja zahtjeva.
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---
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### Zašto neki modeli imaju manju uključenu potrošnju
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Uz Go plaćate $10 mjesečno, a cilj nam je omogućiti vam potrošnju šest puta veću od tog iznosa.
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Za većinu modela to postižemo količinskim popustima i rezervisanim GPU kapacitetom. Tu uštedu zatim prenosimo na vas primjenom faktora šest.
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Za neke modele još nismo imali priliku dogovoriti popust ili ih hostovati po nižoj cijeni, bilo zato što su modeli novi ili zato što su njihove javno objavljene cijene već snižene.
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Za ove modele i dalje dobijate malo više nego da direktno plaćate provajderima modela; zato je njihov faktor potrošnje niži u gornjoj tabeli.
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---
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## Endpointi
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Također možete pristupiti Go modelima putem sljedećih API endpointa.
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| Model | Model ID | Endpoint | AI SDK Paket |
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| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
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| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.7 Code | kimi-k2.7-code | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
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@ -180,8 +201,8 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
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| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
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[Model id](/docs/config/#models) u vašoj OpenCode konfiguraciji
|
||||
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K2.7 Code, koristili biste
|
||||
`opencode-go/kimi-k2.7-code` u svojoj konfiguraciji.
|
||||
koristi format `opencode-go/<model-id>`. Na primjer, za Kimi K3, koristili biste
|
||||
`opencode-go/kimi-k3` u svojoj konfiguraciji.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -59,8 +59,10 @@ Kun ét medlem per arbejdsområde kan abonnere på OpenCode Go.
|
|||
|
||||
Den nuværende liste over modeller inkluderer:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -91,10 +93,12 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
|||
|
||||
| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
|
||||
| ----------------- | ----------------------- | ------------------- | --------------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -107,8 +111,9 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
|||
|
||||
Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
|
||||
|
||||
- Grok 4.5 — 1.100 input, 71.500 cachelagrede, 220 output-tokens pr. anmodning
|
||||
- GLM-5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
|
||||
- Kimi K2.7 Code/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- Kimi K3/K2.7/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Pro — 750 input, 82.000 cachelagrede, 290 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
|
||||
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
|
|
@ -119,26 +124,28 @@ Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
|
|||
- MiMo-V2.5 — 830 input, 71.500 cachelagrede, 295 output-tokens pr. anmodning
|
||||
- MiMo-V2.5-Pro — 790 input, 86.000 cachelagrede, 305 output-tokens pr. anmodning
|
||||
|
||||
Estimaterne er også baseret på følgende priser pr. 1M tokens:
|
||||
Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlige forbrug, der er inkluderet med hver model:
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Forbrug |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Du kan spore dit nuværende forbrug i **<a href={console}>konsollen</a>**.
|
||||
|
||||
|
|
@ -158,14 +165,28 @@ når du har nået dine forbrugsgrænser, i stedet for at blokere anmodninger.
|
|||
|
||||
---
|
||||
|
||||
### Hvorfor nogle modeller har lavere forbrug
|
||||
|
||||
Med Go betaler du $10/måned, og vi sigter mod at give dig 6x så meget i forbrug.
|
||||
|
||||
For de fleste modeller gør vi dette muligt gennem mængderabatter og reserveret GPU-kapacitet. Vi giver dig derefter disse besparelser videre gennem 6x-multiplikatoren.
|
||||
|
||||
For nogle modeller har vi endnu ikke haft mulighed for at forhandle en rabat eller hoste dem til en lavere pris, enten fordi modellen er ny, eller fordi dens offentlige pris allerede er nedsat.
|
||||
|
||||
Med disse modeller får du stadig lidt mere, end hvis du betalte modeludbyderne direkte. Derfor er deres forbrugsmultiplikator lavere i tabellen ovenfor.
|
||||
|
||||
---
|
||||
|
||||
## Endpoints
|
||||
|
||||
Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -180,8 +201,8 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
Dit [model id](/docs/config/#models) i din OpenCode config
|
||||
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K2.7 Code, vil du
|
||||
bruge `opencode-go/kimi-k2.7-code` i din config.
|
||||
bruger formatet `opencode-go/<model-id>`. For eksempel for Kimi K3, vil du
|
||||
bruge `opencode-go/kimi-k3` i din config.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -51,8 +51,10 @@ Nur ein Mitglied pro Workspace kann OpenCode Go abonnieren.
|
|||
|
||||
Die aktuelle Liste der Modelle umfasst:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -83,10 +85,12 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
|||
|
||||
| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
|
||||
| ----------------- | ---------------------- | ------------------ | ------------------ |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -99,8 +103,9 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
|||
|
||||
Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
|
||||
|
||||
- Grok 4.5 — 1.100 Input-, 71.500 Cached-, 220 Output-Tokens pro Anfrage
|
||||
- GLM-5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
|
||||
- Kimi K2.7 Code/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- Kimi K3/K2.7/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Pro — 750 Input-, 82.000 Cached-, 290 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
|
||||
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
|
|
@ -111,26 +116,28 @@ Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
|
|||
- MiMo-V2.5 — 830 Input-, 71.500 Cached-, 295 Output-Tokens pro Anfrage
|
||||
- MiMo-V2.5-Pro — 790 Input-, 86.000 Cached-, 305 Output-Tokens pro Anfrage
|
||||
|
||||
Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens:
|
||||
Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und der monatlichen Nutzung, die bei jedem Modell enthalten ist:
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Nutzung |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ------- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Du kannst deine aktuelle Nutzung in der **<a href={console}>Console</a>** verfolgen.
|
||||
|
||||
|
|
@ -148,14 +155,28 @@ Wenn du auch Guthaben auf deinem Zen-Konto hast, kannst du in der Console die Op
|
|||
|
||||
---
|
||||
|
||||
### Warum einige Modelle weniger Nutzung bieten
|
||||
|
||||
Mit Go zahlst du $10/Monat, und unser Ziel ist, dir dafür das Sechsfache dieses Betrags als Nutzungsguthaben zu bieten.
|
||||
|
||||
Bei den meisten Modellen ermöglichen wir dies durch Mengenrabatte und reservierte GPU-Kapazität. Diese Ersparnisse geben wir dann über den 6x-Multiplikator an dich weiter.
|
||||
|
||||
Bei einigen Modellen hatten wir bisher keine Gelegenheit, einen Rabatt auszuhandeln oder sie kostengünstiger zu hosten, entweder weil das jeweilige Modell neu oder sein öffentlicher Preis bereits rabattiert ist.
|
||||
|
||||
Bei diesen Modellen erhältst du immer noch etwas mehr, als wenn du die Modellanbieter direkt bezahlen würdest. Deshalb ist ihr Nutzungsmultiplikator in der Tabelle oben niedriger.
|
||||
|
||||
---
|
||||
|
||||
## Endpunkte
|
||||
|
||||
Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
||||
|
||||
| Modell | Modell-ID | Endpunkt | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -169,7 +190,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K2.7 Code würdest du beispielsweise `opencode-go/kimi-k2.7-code` in deiner Config verwenden.
|
||||
Die [Modell-ID](/docs/config/#models) in deiner OpenCode Config verwendet das Format `opencode-go/<model-id>`. Für Kimi K3 würdest du beispielsweise `opencode-go/kimi-k3` in deiner Config verwenden.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -59,8 +59,10 @@ Solo un miembro por espacio de trabajo puede suscribirse a OpenCode Go.
|
|||
|
||||
La lista actual de modelos incluye:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -91,10 +93,12 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
|
|||
|
||||
| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
|
||||
| ----------------- | ---------------------- | --------------------- | ------------------ |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -107,8 +111,9 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
|
|||
|
||||
Las estimaciones se basan en los patrones de peticiones promedio observados:
|
||||
|
||||
- Grok 4.5 — 1,100 tokens de entrada, 71,500 en caché, 220 tokens de salida por petición
|
||||
- GLM-5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
|
||||
- Kimi K2.7 Code/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
|
||||
- Kimi K3/K2.7/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
|
||||
- DeepSeek V4 Pro — 750 tokens de entrada, 82,000 en caché, 290 tokens de salida por petición
|
||||
- DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
|
||||
- MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
|
||||
|
|
@ -119,26 +124,28 @@ Las estimaciones se basan en los patrones de peticiones promedio observados:
|
|||
- MiMo-V2.5 — 830 tokens de entrada, 71,500 en caché, 295 tokens de salida por petición
|
||||
- MiMo-V2.5-Pro — 790 tokens de entrada, 86,000 en caché, 305 tokens de salida por petición
|
||||
|
||||
Las estimaciones también se basan en los siguientes precios por 1M tokens:
|
||||
Las estimaciones también se basan en los siguientes precios por 1M tokens y en el uso mensual incluido con cada modelo:
|
||||
|
||||
| Modelo | Entrada | Salida | Lectura en caché | Escritura en caché |
|
||||
| ---------------------------- | ------- | ------ | ---------------- | ------------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Modelo | Entrada | Salida | Lectura en caché | Escritura en caché | Uso |
|
||||
| ---------------------------- | ------- | ------ | ---------------- | ------------------ | --- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Puedes realizar un seguimiento de tu uso actual en la **<a href={console}>consola</a>**.
|
||||
|
||||
|
|
@ -158,14 +165,28 @@ después de que hayas alcanzado tus límites de uso en lugar de bloquear las pet
|
|||
|
||||
---
|
||||
|
||||
### Por qué algunos modelos incluyen menos uso
|
||||
|
||||
Con Go, pagas $10/mes y nuestro objetivo es ofrecerte un uso equivalente a 6 veces esa cantidad.
|
||||
|
||||
Para la mayoría de los modelos, lo conseguimos mediante descuentos por volumen y capacidad de GPU reservada. Ese ahorro se traduce en un multiplicador de 6x para ti.
|
||||
|
||||
Para algunos modelos, todavía no hemos tenido la oportunidad de negociar un descuento o alojarlos a un coste menor, ya sea porque el modelo es nuevo o porque su precio público ya incluye un descuento.
|
||||
|
||||
Con estos modelos, aun así obtienes un poco más que si pagaras directamente a los proveedores de modelos; por eso su multiplicador de uso es menor en la tabla anterior.
|
||||
|
||||
---
|
||||
|
||||
## Endpoints
|
||||
|
||||
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 |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -180,8 +201,8 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
El [ID del modelo](/docs/config/#models) en tu configuración de OpenCode
|
||||
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K2.7 Code, usarías
|
||||
`opencode-go/kimi-k2.7-code` en tu configuración.
|
||||
usa el formato `opencode-go/<model-id>`. Por ejemplo, para Kimi K3, usarías
|
||||
`opencode-go/kimi-k3` en tu configuración.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -49,8 +49,10 @@ Un seul membre par espace de travail peut s'abonner à OpenCode Go.
|
|||
|
||||
La liste actuelle des modèles comprend :
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -81,10 +83,12 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
|
|||
|
||||
| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
|
||||
| ----------------- | --------------------- | -------------------- | ----------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -97,8 +101,9 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
|
|||
|
||||
Les estimations sont basées sur les schémas de requêtes moyens observés :
|
||||
|
||||
- Grok 4.5 — 1,100 tokens en entrée, 71,500 en cache, 220 tokens en sortie par requête
|
||||
- GLM-5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
|
||||
- Kimi K2.7 Code/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
|
||||
- Kimi K3/K2.7/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
|
||||
- DeepSeek V4 Pro — 750 tokens en entrée, 82,000 en cache, 290 tokens en sortie par requête
|
||||
- DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
|
||||
- MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
|
||||
|
|
@ -109,26 +114,28 @@ Les estimations sont basées sur les schémas de requêtes moyens observés :
|
|||
- MiMo-V2.5 — 830 tokens en entrée, 71,500 en cache, 295 tokens en sortie par requête
|
||||
- MiMo-V2.5-Pro — 790 tokens en entrée, 86,000 en cache, 305 tokens en sortie par requête
|
||||
|
||||
Les estimations sont également basées sur les prix suivants par 1M tokens :
|
||||
Les estimations sont également basées sur les prix suivants par 1M tokens et sur l'utilisation mensuelle incluse avec chaque modèle :
|
||||
|
||||
| Modèle | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Modèle | Input | Output | Cached Read | Cached Write | Utilisation |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----------- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Vous pouvez suivre votre utilisation actuelle dans la **<a href={console}>console</a>**.
|
||||
|
||||
|
|
@ -146,14 +153,28 @@ Si vous avez également des crédits sur votre solde Zen, vous pouvez activer l'
|
|||
|
||||
---
|
||||
|
||||
### Pourquoi certains modèles offrent un volume d'utilisation inférieur
|
||||
|
||||
Avec Go, vous payez 10 $/mois et nous cherchons à vous offrir un volume d'utilisation équivalant à 6 fois ce montant.
|
||||
|
||||
Pour la plupart des modèles, nous y parvenons grâce à des remises sur volume et à une capacité GPU réservée. Nous vous faisons ensuite bénéficier de ces économies grâce à un coefficient multiplicateur de 6.
|
||||
|
||||
Pour certains modèles, nous n'avons pas encore eu l'occasion de négocier une remise ou de les héberger à moindre coût, soit parce que le modèle est nouveau, soit parce que son tarif public est déjà réduit.
|
||||
|
||||
Pour ces modèles, vous obtenez tout de même un peu plus que si vous payiez directement les fournisseurs de modèles ; c'est pourquoi leur multiplicateur d'utilisation est plus faible dans le tableau ci-dessus.
|
||||
|
||||
---
|
||||
|
||||
## Points de terminaison
|
||||
|
||||
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 |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -167,7 +188,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K2.7 Code, vous utiliseriez `opencode-go/kimi-k2.7-code` dans votre configuration.
|
||||
L'[ID de modèle](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode-go/<model-id>`. Par exemple, pour Kimi K3, vous utiliseriez `opencode-go/kimi-k3` dans votre configuration.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -59,8 +59,10 @@ Only one member per workspace can subscribe to OpenCode Go.
|
|||
|
||||
The current list of models includes:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -91,10 +93,12 @@ The table below provides an estimated request count based on typical Go usage pa
|
|||
|
||||
| Model | requests per 5 hour | requests per week | requests per month |
|
||||
| ----------------- | ------------------- | ----------------- | ------------------ |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -107,8 +111,9 @@ The table below provides an estimated request count based on typical Go usage pa
|
|||
|
||||
The estimates are based on observed average request patterns:
|
||||
|
||||
- Grok 4.5 — 1,100 input, 71,500 cached, 220 output tokens per request
|
||||
- GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
|
||||
- Kimi K2.7 Code/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
|
||||
- Kimi K3/K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
|
||||
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
|
||||
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
|
||||
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
|
||||
|
|
@ -119,26 +124,28 @@ The estimates are based on observed average request patterns:
|
|||
- Qwen3.7 Plus — 500 input, 57,000 cached, 190 output tokens per request
|
||||
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
|
||||
|
||||
The estimates are also based on the following prices per 1M tokens:
|
||||
The estimates are also based on the following prices per 1M tokens and the monthly usage included with each model:
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Usage |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
You can track your current usage in the **<a href={console}>console</a>**.
|
||||
|
||||
|
|
@ -158,14 +165,28 @@ after you've reached your usage limits instead of blocking requests.
|
|||
|
||||
---
|
||||
|
||||
### Why some models have lower usage
|
||||
|
||||
With Go, you pay $10/month and we aim to give you 6x that in usage.
|
||||
|
||||
For most models, we make this work through bulk discounts and reserved GPU capacity. We then pass those savings on to you through the 6x multiplier.
|
||||
|
||||
For some models, we haven't had the opportunity to negotiate a discount or host them at a lower cost, either because the model is new or because their public pricing is already discounted.
|
||||
|
||||
For these models, you still get a little more than if you paid the model providers directly; this is why their usage mulitplier is lower in the table above.
|
||||
|
||||
---
|
||||
|
||||
## Endpoints
|
||||
|
||||
You can also access Go models through the following API endpoints.
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -180,8 +201,8 @@ You can also access Go models through the following API endpoints.
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
The [model id](/docs/config/#models) in your OpenCode config
|
||||
uses the format `opencode-go/<model-id>`. For example, for Kimi K2.7 Code, you would
|
||||
use `opencode-go/kimi-k2.7-code` in your config.
|
||||
uses the format `opencode-go/<model-id>`. For example, for Kimi K3, you would
|
||||
use `opencode-go/kimi-k3` in your config.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -57,8 +57,10 @@ Solo un membro per workspace può abbonarsi a OpenCode Go.
|
|||
|
||||
L'elenco attuale dei modelli include:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -89,10 +91,12 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
|
|||
|
||||
| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
|
||||
| ----------------- | -------------------- | --------------------- | ----------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -105,8 +109,9 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
|
|||
|
||||
Le stime si basano sui pattern medi di richieste osservati:
|
||||
|
||||
- Grok 4.5 — 1.100 di input, 71.500 in cache, 220 token di output per richiesta
|
||||
- GLM-5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
|
||||
- Kimi K2.7 Code/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
|
||||
- Kimi K3/K2.7/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
|
||||
- DeepSeek V4 Pro — 750 di input, 82.000 in cache, 290 token di output per richiesta
|
||||
- DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
|
||||
- MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
|
||||
|
|
@ -117,26 +122,28 @@ Le stime si basano sui pattern medi di richieste osservati:
|
|||
- MiMo-V2.5 — 830 di input, 71.500 in cache, 295 token di output per richiesta
|
||||
- MiMo-V2.5-Pro — 790 di input, 86.000 in cache, 305 token di output per richiesta
|
||||
|
||||
Le stime si basano anche sui seguenti prezzi per 1M token:
|
||||
Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensile incluso con ciascun modello:
|
||||
|
||||
| Modello | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Modello | Input | Output | Cached Read | Cached Write | Utilizzo |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | -------- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Puoi monitorare il tuo utilizzo attuale nella **<a href={console}>console</a>**.
|
||||
|
||||
|
|
@ -156,14 +163,28 @@ dopo che avrai raggiunto i limiti di utilizzo invece di bloccare le richieste.
|
|||
|
||||
---
|
||||
|
||||
### Perché alcuni modelli hanno un utilizzo inferiore
|
||||
|
||||
Con Go, paghi $10/mese e puntiamo a offrirti un utilizzo pari a 6 volte tale importo.
|
||||
|
||||
Per la maggior parte dei modelli, ci riusciamo grazie a sconti sui volumi e capacità GPU riservata. Ti facciamo quindi beneficiare di questi risparmi tramite il moltiplicatore 6x.
|
||||
|
||||
Per alcuni modelli, non abbiamo ancora avuto l'opportunità di negoziare uno sconto o di ospitarli a un costo inferiore, perché il modello è nuovo oppure perché il prezzo pubblico è già scontato.
|
||||
|
||||
Per questi modelli, ottieni comunque un po' più di utilizzo rispetto a quanto otterresti pagando direttamente i provider dei modelli; per questo il loro moltiplicatore di utilizzo è più basso nella tabella precedente.
|
||||
|
||||
---
|
||||
|
||||
## Endpoint
|
||||
|
||||
Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
|
||||
|
||||
| Modello | ID Modello | Endpoint | Pacchetto AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -178,8 +199,8 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
Il [model id](/docs/config/#models) nella tua OpenCode config
|
||||
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K2.7 Code, useresti
|
||||
`opencode-go/kimi-k2.7-code` nella tua configurazione.
|
||||
utilizza il formato `opencode-go/<model-id>`. Ad esempio, per Kimi K3, useresti
|
||||
`opencode-go/kimi-k3` nella tua configurazione.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -49,8 +49,10 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
|
|||
|
||||
現在のモデルリストには以下が含まれます：
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -81,10 +83,12 @@ OpenCode Goには以下の制限が含まれています：
|
|||
|
||||
| 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 |
|
||||
| ----------------- | ------------------------- | ---------------- | ---------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -97,8 +101,9 @@ OpenCode Goには以下の制限が含まれています：
|
|||
|
||||
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：
|
||||
|
||||
- Grok 4.5 — リクエストあたり 入力 1,100トークン、キャッシュ 71,500トークン、出力 220トークン
|
||||
- GLM-5.2/5.1 — 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 K2.7 Code/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
|
||||
- Kimi K3/K2.7/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 — リクエストあたり 入力 750トークン、キャッシュ 82,000トークン、出力 290トークン
|
||||
- DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
|
||||
- MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
|
||||
|
|
@ -109,26 +114,28 @@ OpenCode Goには以下の制限が含まれています：
|
|||
- MiMo-V2.5 — リクエストあたり 入力 830トークン、キャッシュ 71,500トークン、出力 295トークン
|
||||
- MiMo-V2.5-Pro — リクエストあたり 入力 790トークン、キャッシュ 86,000トークン、出力 305トークン
|
||||
|
||||
推定値は、100万トークンあたりの以下の価格にも基づいています：
|
||||
推定値は、100万トークンあたりの以下の価格と、各モデルに含まれる月間利用枠にも基づいています：
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Usage |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
現在の利用状況は**<a href={console}>コンソール</a>**で追跡できます。
|
||||
|
||||
|
|
@ -146,14 +153,28 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
|
|||
|
||||
---
|
||||
|
||||
### 一部のモデルの利用枠が少ない理由
|
||||
|
||||
Goでは月額$10を支払い、その6倍の利用枠を提供することを目指しています。
|
||||
|
||||
ほとんどのモデルでは、ボリュームディスカウントと予約済みのGPUキャパシティによってこれを実現しています。そして、その節約分を6倍の倍率で還元しています。
|
||||
|
||||
一部のモデルでは、モデルが新しい、または公開価格がすでに割引されているため、割引を交渉したり、より低コストでホストしたりする機会がまだありません。
|
||||
|
||||
これらのモデルでも、モデルプロバイダーに直接支払う場合より少し多く利用できます。そのため、上の表では利用枠の倍率が低くなっています。
|
||||
|
||||
---
|
||||
|
||||
## エンドポイント
|
||||
|
||||
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 |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -167,7 +188,7 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
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 K2.7 Codeの場合は、設定で`opencode-go/kimi-k2.7-code`を使用します。
|
||||
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 K3の場合は、設定で`opencode-go/kimi-k3`を使用します。
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -49,8 +49,10 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
|
|||
|
||||
현재 모델 목록에는 다음이 포함됩니다.
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -81,10 +83,12 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
|||
|
||||
| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
|
||||
| ----------------- | ----------------- | -------------- | -------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -97,8 +101,9 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
|||
|
||||
이 예상치는 관찰된 평균 요청 패턴을 기준으로 합니다.
|
||||
|
||||
- Grok 4.5 — 요청당 입력 1,100, 캐시 71,500, 출력 토큰 220
|
||||
- GLM-5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
|
||||
- Kimi K2.7 Code/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
|
||||
- Kimi K3/K2.7/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
|
||||
- DeepSeek V4 Pro — 요청당 입력 750, 캐시 82,000, 출력 토큰 290
|
||||
- DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
|
||||
- MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
|
||||
|
|
@ -109,26 +114,28 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
|||
- MiMo-V2.5 — 요청당 입력 830, 캐시 71,500, 출력 토큰 295
|
||||
- MiMo-V2.5-Pro — 요청당 입력 790, 캐시 86,000, 출력 토큰 305
|
||||
|
||||
이 예상치는 또한 1M tokens당 다음 가격을 기준으로 합니다.
|
||||
이 예상치는 또한 1M tokens당 다음 가격과 각 모델에 포함된 월간 사용량을 기준으로 합니다.
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Usage |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
현재 사용량은 **<a href={console}>console</a>**에서 확인할 수 있습니다.
|
||||
|
||||
|
|
@ -146,14 +153,28 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
|
|||
|
||||
---
|
||||
|
||||
### 일부 모델의 사용량이 더 적은 이유
|
||||
|
||||
Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공하는 것을 목표로 합니다.
|
||||
|
||||
대부분의 모델은 대량 할인과 예약된 GPU 용량을 통해 이를 실현합니다. 그런 다음 6배의 사용량 배율을 통해 절감 혜택을 사용자에게 돌려드립니다.
|
||||
|
||||
일부 모델은 새로 출시되었거나 공개 가격에 이미 할인이 적용되어 있어, 아직 할인을 협상하거나 더 저렴한 비용으로 호스팅할 기회가 없었습니다.
|
||||
|
||||
이러한 모델도 모델 제공자에게 직접 비용을 지불할 때보다 약간 더 많은 사용량을 제공합니다. 이것이 위 표에서 해당 모델의 사용량 배율이 더 낮은 이유입니다.
|
||||
|
||||
---
|
||||
|
||||
## 엔드포인트
|
||||
|
||||
다음 API 엔드포인트를 통해서도 Go 모델에 액세스할 수 있습니다.
|
||||
|
||||
| 모델 | 모델 ID | 엔드포인트 | AI SDK 패키지 |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -167,7 +188,7 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K2.7 Code의 경우 config에서 `opencode-go/kimi-k2.7-code`를 사용하면 됩니다.
|
||||
OpenCode config의 [model id](/docs/config/#models)는 `opencode-go/<model-id>` 형식을 사용합니다. 예를 들어 Kimi K3의 경우 config에서 `opencode-go/kimi-k3`를 사용하면 됩니다.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -59,8 +59,10 @@ Kun ett medlem per arbeidsområde kan abonnere på OpenCode Go.
|
|||
|
||||
Den nåværende listen over modeller inkluderer:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -91,10 +93,12 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
|
|||
|
||||
| Model | forespørsler per 5 timer | forespørsler per uke | forespørsler per måned |
|
||||
| ----------------- | ------------------------ | -------------------- | ---------------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -107,8 +111,9 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
|
|||
|
||||
Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
|
||||
|
||||
- Grok 4.5 — 1 100 input, 71 500 bufret, 220 output-tokens per forespørsel
|
||||
- GLM-5.2/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
|
||||
- Kimi K2.7 Code/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
|
||||
- Kimi K3/K2.7/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
|
||||
- DeepSeek V4 Pro — 750 input, 82 000 bufret, 290 output-tokens per forespørsel
|
||||
- DeepSeek V4 Flash — 790 input, 68 000 bufret, 280 output-tokens per forespørsel
|
||||
- MiniMax M3 — 510 input, 56 000 bufret, 190 output-tokens per forespørsel
|
||||
|
|
@ -119,26 +124,28 @@ Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
|
|||
- MiMo-V2.5 — 830 input, 71 500 bufret, 295 output-tokens per forespørsel
|
||||
- MiMo-V2.5-Pro — 790 input, 86 000 bufret, 305 output-tokens per forespørsel
|
||||
|
||||
Estimatene er også basert på følgende priser per 1M tokens:
|
||||
Estimatene er også basert på følgende priser per 1M tokens og den månedlige bruken som er inkludert med hver modell:
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Bruk |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Du kan spore din nåværende bruk i **<a href={console}>konsollen</a>**.
|
||||
|
||||
|
|
@ -158,14 +165,28 @@ etter at du har nådd bruksgrensene dine, i stedet for å blokkere forespørsler
|
|||
|
||||
---
|
||||
|
||||
### Hvorfor noen modeller har lavere bruk
|
||||
|
||||
Med Go betaler du $10/måned, og vi har som mål å gi deg seks ganger så mye bruk.
|
||||
|
||||
For de fleste modeller får vi dette til gjennom volumrabatter og reservert GPU-kapasitet. Deretter gir vi disse besparelsene videre til deg gjennom 6x-multiplikatoren.
|
||||
|
||||
For noen modeller har vi ikke hatt muligheten til å forhandle frem en rabatt eller drifte dem til en lavere kostnad, enten fordi modellen er ny, eller fordi den offentlige prisen allerede er rabattert.
|
||||
|
||||
For disse modellene får du fortsatt litt mer enn om du betalte modellleverandørene direkte. Derfor er bruksmultiplikatoren deres lavere i tabellen ovenfor.
|
||||
|
||||
---
|
||||
|
||||
## Endepunkter
|
||||
|
||||
Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
|
||||
|
||||
| Modell | Modell-ID | Endepunkt | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -180,8 +201,8 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
[Modell-ID-en](/docs/config/#models) i din OpenCode-konfigurasjon
|
||||
bruker formatet `opencode-go/<model-id>`. For eksempel, for Kimi K2.7 Code, vil du
|
||||
bruke `opencode-go/kimi-k2.7-code` i konfigurasjonen din.
|
||||
bruker formatet `opencode-go/<model-id>`. For eksempel, for Kimi K3, vil du
|
||||
bruke `opencode-go/kimi-k3` i konfigurasjonen din.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -53,8 +53,10 @@ Tylko jeden członek na obszar roboczy (workspace) może zasubskrybować OpenCod
|
|||
|
||||
Obecna lista modeli obejmuje:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -85,10 +87,12 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
|
|||
|
||||
| Model | żądania na 5 godzin | żądania na tydzień | żądania na miesiąc |
|
||||
| ----------------- | ------------------- | ------------------ | ------------------ |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -101,8 +105,9 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
|
|||
|
||||
Szacunki te opierają się na zaobserwowanych średnich wzorcach żądań:
|
||||
|
||||
- Grok 4.5 — 1 100 tokenów wejściowych, 71 500 w pamięci podręcznej, 220 tokenów wyjściowych na żądanie
|
||||
- GLM-5.2/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
|
||||
- Kimi K2.7 Code/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
|
||||
- Kimi K3/K2.7/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
|
||||
- DeepSeek V4 Pro — 750 tokenów wejściowych, 82 000 w pamięci podręcznej, 290 tokenów wyjściowych na żądanie
|
||||
- DeepSeek V4 Flash — 790 tokenów wejściowych, 68 000 w pamięci podręcznej, 280 tokenów wyjściowych na żądanie
|
||||
- MiniMax M3 — 510 tokenów wejściowych, 56 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
|
||||
|
|
@ -113,26 +118,28 @@ Szacunki te opierają się na zaobserwowanych średnich wzorcach żądań:
|
|||
- MiMo-V2.5 — 830 tokenów wejściowych, 71 500 w pamięci podręcznej, 295 tokenów wyjściowych na żądanie
|
||||
- MiMo-V2.5-Pro — 790 tokenów wejściowych, 86 000 w pamięci podręcznej, 305 tokenów wyjściowych na żądanie
|
||||
|
||||
Szacunki opierają się również na następujących cenach za 1M tokenów:
|
||||
Szacunki opierają się również na następujących cenach za 1M tokenów oraz miesięcznym użyciu dostępnym dla każdego modelu:
|
||||
|
||||
| Model | Wejście | Wyjście | Odczyt z cache | Zapis do cache |
|
||||
| ---------------------------- | ------- | ------- | -------------- | -------------- |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Wejście | Wyjście | Odczyt z cache | Zapis do cache | Użycie |
|
||||
| ---------------------------- | ------- | ------- | -------------- | -------------- | ------ |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Możesz śledzić swoje bieżące zużycie w **<a href={console}>konsoli</a>**.
|
||||
|
||||
|
|
@ -150,14 +157,28 @@ Jeśli masz również środki na swoim saldzie Zen, możesz włączyć opcję **
|
|||
|
||||
---
|
||||
|
||||
### Dlaczego niektóre modele mają niższe limity użycia
|
||||
|
||||
Go kosztuje $10/miesiąc, a naszym celem jest zapewnienie Ci użycia o wartości 6x większej niż ta kwota.
|
||||
|
||||
W przypadku większości modeli jest to możliwe dzięki rabatom hurtowym i zarezerwowanej mocy obliczeniowej GPU. Uzyskane w ten sposób oszczędności przekazujemy Tobie w postaci mnożnika 6x.
|
||||
|
||||
W przypadku niektórych modeli nie mieliśmy jeszcze możliwości wynegocjowania rabatu ani hostowania ich po niższym koszcie, ponieważ model jest nowy lub jego publiczny cennik już uwzględnia rabat.
|
||||
|
||||
W przypadku tych modeli nadal otrzymujesz nieco więcej, niż płacąc bezpośrednio ich dostawcom. Dlatego ich mnożnik użycia w powyższej tabeli jest niższy.
|
||||
|
||||
---
|
||||
|
||||
## Punkty końcowe
|
||||
|
||||
Możesz również uzyskać dostęp do modeli Go za pośrednictwem następujących punktów końcowych API.
|
||||
|
||||
| Model | ID modelu | Punkt końcowy | Pakiet AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -172,8 +193,8 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode
|
||||
używa formatu `opencode-go/<model-id>`. Na przykład dla Kimi K2.7 Code należy użyć
|
||||
`opencode-go/kimi-k2.7-code` w swojej konfiguracji.
|
||||
używa formatu `opencode-go/<model-id>`. Na przykład dla Kimi K3 należy użyć
|
||||
`opencode-go/kimi-k3` w swojej konfiguracji.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -59,8 +59,10 @@ Apenas um membro por workspace pode assinar o OpenCode Go.
|
|||
|
||||
A lista atual de modelos inclui:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -91,10 +93,12 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
|
|||
|
||||
| Model | requisições por 5 horas | requisições por semana | requisições por mês |
|
||||
| ----------------- | ----------------------- | ---------------------- | ------------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -107,8 +111,9 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
|
|||
|
||||
As estimativas se baseiam nos padrões médios de requisições observados:
|
||||
|
||||
- Grok 4.5 — 1.100 tokens de entrada, 71.500 em cache, 220 tokens de saída por requisição
|
||||
- GLM-5.2/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
|
||||
- Kimi K2.7 Code/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
|
||||
- Kimi K3/K2.7/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
|
||||
- DeepSeek V4 Pro — 750 tokens de entrada, 82.000 em cache, 290 tokens de saída por requisição
|
||||
- DeepSeek V4 Flash — 790 tokens de entrada, 68.000 em cache, 280 tokens de saída por requisição
|
||||
- MiniMax M3 — 510 tokens de entrada, 56.000 em cache, 190 tokens de saída por requisição
|
||||
|
|
@ -119,26 +124,28 @@ As estimativas se baseiam nos padrões médios de requisições observados:
|
|||
- MiMo-V2.5 — 830 tokens de entrada, 71.500 em cache, 295 tokens de saída por requisição
|
||||
- MiMo-V2.5-Pro — 790 tokens de entrada, 86.000 em cache, 305 tokens de saída por requisição
|
||||
|
||||
As estimativas também se baseiam nos seguintes preços por 1M tokens:
|
||||
As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso mensal incluído com cada modelo:
|
||||
|
||||
| Modelo | Entrada | Saída | Leitura em cache | Escrita em cache |
|
||||
| ---------------------------- | ------- | ----- | ---------------- | ---------------- |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Modelo | Entrada | Saída | Leitura em cache | Escrita em cache | Uso |
|
||||
| ---------------------------- | ------- | ------ | ---------------- | ---------------- | --- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Você pode acompanhar o seu uso atual no **<a href={console}>console</a>**.
|
||||
|
||||
|
|
@ -158,14 +165,28 @@ após você atingir os seus limites de uso em vez de bloquear as requisições.
|
|||
|
||||
---
|
||||
|
||||
### Por que alguns modelos têm um uso menor
|
||||
|
||||
Com o Go, você paga $10/mês, e nosso objetivo é oferecer 6x esse valor em uso.
|
||||
|
||||
Para a maioria dos modelos, conseguimos fazer isso por meio de descontos por volume e capacidade reservada de GPU. Repassamos essa economia a você por meio do multiplicador de 6x.
|
||||
|
||||
Para alguns modelos, ainda não tivemos a oportunidade de negociar um desconto ou hospedá-los a um custo menor, seja porque o modelo é novo ou porque o preço público já tem desconto.
|
||||
|
||||
Para esses modelos, você ainda recebe um pouco mais do que receberia se pagasse diretamente aos provedores dos modelos; por isso, o multiplicador de uso deles é menor na tabela acima.
|
||||
|
||||
---
|
||||
|
||||
## Endpoints
|
||||
|
||||
Você também pode acessar os modelos do Go através dos seguintes endpoints de API.
|
||||
|
||||
| Modelo | ID do Modelo | Endpoint | Pacote do AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -180,8 +201,8 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
O [ID do modelo](/docs/config/#models) na sua configuração do OpenCode
|
||||
usa o formato `opencode-go/<model-id>`. Por exemplo, para o Kimi K2.7 Code, você usaria
|
||||
`opencode-go/kimi-k2.7-code` na sua configuração.
|
||||
usa o formato `opencode-go/<model-id>`. Por exemplo, para o Kimi K3, você usaria
|
||||
`opencode-go/kimi-k3` na sua configuração.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -59,8 +59,10 @@ OpenCode Go работает так же, как и любой другой пр
|
|||
|
||||
Текущий список моделей включает:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -91,10 +93,12 @@ OpenCode Go включает следующие лимиты:
|
|||
|
||||
| Model | запросов за 5 часов | запросов в неделю | запросов в месяц |
|
||||
| ----------------- | ------------------- | ----------------- | ---------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -107,8 +111,9 @@ OpenCode Go включает следующие лимиты:
|
|||
|
||||
Эти оценки основаны на наблюдаемых средних показателях запросов:
|
||||
|
||||
- Grok 4.5 — 1,100 входных, 71,500 кешированных, 220 выходных токенов на запрос
|
||||
- GLM-5.2/5.1 — 700 входных, 52,000 кешированных, 150 выходных токенов на запрос
|
||||
- Kimi K2.7 Code/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
|
||||
- Kimi K3/K2.7/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
|
||||
- DeepSeek V4 Pro — 750 входных, 82,000 кешированных, 290 выходных токенов на запрос
|
||||
- DeepSeek V4 Flash — 790 входных, 68,000 кешированных, 280 выходных токенов на запрос
|
||||
- MiniMax M3 — 510 входных, 56,000 кешированных, 190 выходных токенов на запрос
|
||||
|
|
@ -119,26 +124,28 @@ OpenCode Go включает следующие лимиты:
|
|||
- MiMo-V2.5 — 830 входных, 71,500 кешированных, 295 выходных токенов на запрос
|
||||
- MiMo-V2.5-Pro — 790 входных, 86,000 кешированных, 305 выходных токенов на запрос
|
||||
|
||||
Эти оценки также основаны на следующих ценах за 1M токенов:
|
||||
Эти оценки также основаны на следующих ценах за 1M токенов и месячном объеме использования, включенном для каждой модели:
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Использование |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Вы можете отслеживать текущее использование в **<a href={console}>консоли</a>**.
|
||||
|
||||
|
|
@ -158,14 +165,28 @@ OpenCode Go включает следующие лимиты:
|
|||
|
||||
---
|
||||
|
||||
### Почему для некоторых моделей доступен меньший объем использования
|
||||
|
||||
С Go вы платите $10 в месяц, а мы стремимся предоставить вам объем использования моделей стоимостью в шесть раз больше этой суммы.
|
||||
|
||||
Для большинства моделей это возможно благодаря оптовым скидкам и зарезервированным мощностям GPU. Полученную экономию мы передаем вам за счет шестикратного множителя.
|
||||
|
||||
Для некоторых моделей у нас еще не было возможности договориться о скидке или развернуть их с меньшими затратами: либо модель новая, либо ее публичные тарифы уже включают скидку.
|
||||
|
||||
Для этих моделей вы все равно получаете немного больше, чем при прямой оплате их провайдерам; именно поэтому указанный для них в таблице выше множитель использования ниже.
|
||||
|
||||
---
|
||||
|
||||
## Эндпоинты
|
||||
|
||||
Вы также можете получить доступ к моделям Go через следующие API-эндпоинты.
|
||||
|
||||
| Модель | ID модели | Эндпоинт | Пакет AI SDK |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -180,8 +201,8 @@ OpenCode Go включает следующие лимиты:
|
|||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
[ID модели](/docs/config/#models) в вашем конфиге OpenCode
|
||||
использует формат `opencode-go/<model-id>`. Например, для Kimi K2.7 Code вам нужно
|
||||
использовать `opencode-go/kimi-k2.7-code` в вашем конфиге.
|
||||
использует формат `opencode-go/<model-id>`. Например, для Kimi K3 вам нужно
|
||||
использовать `opencode-go/kimi-k3` в вашем конфиге.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -49,8 +49,10 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
|
|||
|
||||
รายชื่อโมเดลในปัจจุบันประกอบด้วย:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -81,10 +83,12 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
|||
|
||||
| Model | requests ต่อ 5 ชั่วโมง | requests ต่อสัปดาห์ | requests ต่อเดือน |
|
||||
| ----------------- | ---------------------- | ------------------- | ----------------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -97,8 +101,9 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
|||
|
||||
การประมาณการนี้อ้างอิงจากรูปแบบการใช้งาน request โดยเฉลี่ยที่สังเกตพบ:
|
||||
|
||||
- Grok 4.5 — 1,100 input, 71,500 cached, 220 output tokens ต่อ request
|
||||
- GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens ต่อ request
|
||||
- Kimi K2.7 Code/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
|
||||
- Kimi K3/K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
|
||||
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens ต่อ request
|
||||
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens ต่อ request
|
||||
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens ต่อ request
|
||||
|
|
@ -109,26 +114,28 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
|||
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens ต่อ request
|
||||
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens ต่อ request
|
||||
|
||||
การประมาณการนี้ยังอ้างอิงจากราคาต่อ 1M tokens ดังต่อไปนี้:
|
||||
การประมาณการนี้ยังอ้างอิงจากราคาต่อ 1M tokens และปริมาณการใช้งานรายเดือนที่รวมอยู่ในแต่ละโมเดลดังต่อไปนี้:
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Usage |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | ----- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
คุณสามารถติดตามการใช้งานปัจจุบันของคุณได้ใน **<a href={console}>console</a>**
|
||||
|
||||
|
|
@ -146,14 +153,28 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
|||
|
||||
---
|
||||
|
||||
### เหตุใดบางโมเดลจึงมีปริมาณการใช้งานต่ำกว่า
|
||||
|
||||
สำหรับ Go คุณจ่าย $10/เดือน และเราตั้งเป้าที่จะมอบปริมาณการใช้งานให้คุณ 6 เท่าของจำนวนดังกล่าว
|
||||
|
||||
สำหรับโมเดลส่วนใหญ่ เราทำเช่นนี้ได้ผ่านส่วนลดสำหรับการซื้อจำนวนมากและความจุ GPU ที่จองไว้ จากนั้นเราจะส่งต่อส่วนลดเหล่านั้นให้คุณผ่านตัวคูณ 6 เท่า
|
||||
|
||||
สำหรับบางโมเดล เรายังไม่มีโอกาสเจรจาส่วนลดหรือโฮสต์โมเดลเหล่านั้นด้วยต้นทุนที่ต่ำลง ไม่ว่าจะเป็นเพราะโมเดลนั้นใหม่หรือราคาที่ประกาศต่อสาธารณะมีส่วนลดอยู่แล้ว
|
||||
|
||||
สำหรับโมเดลเหล่านี้ คุณยังคงได้รับปริมาณการใช้งานมากกว่าการจ่ายให้ผู้ให้บริการโมเดลโดยตรงเล็กน้อย นี่คือเหตุผลที่ตัวคูณการใช้งานของโมเดลเหล่านี้ต่ำกว่าในตารางด้านบน
|
||||
|
||||
---
|
||||
|
||||
## Endpoints
|
||||
|
||||
คุณสามารถเข้าถึงโมเดลของ Go ผ่าน API endpoints ต่อไปนี้ได้เช่นกัน
|
||||
|
||||
| Model | Model ID | Endpoint | AI SDK Package |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -167,7 +188,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
[model id](/docs/config/#models) ใน OpenCode config ของคุณจะใช้รูปแบบ `opencode-go/<model-id>` ตัวอย่างเช่น สำหรับ Kimi K2.7 Code คุณจะใช้ `opencode-go/kimi-k2.7-code` ใน config ของคุณ
|
||||
[model id](/docs/config/#models) ใน OpenCode config ของคุณจะใช้รูปแบบ `opencode-go/<model-id>` ตัวอย่างเช่น สำหรับ Kimi K3 คุณจะใช้ `opencode-go/kimi-k3` ใน config ของคุณ
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -49,8 +49,10 @@ Her çalışma alanından yalnızca bir üye OpenCode Go'ya abone olabilir.
|
|||
|
||||
Mevcut model listesi şunları içerir:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -81,10 +83,12 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
|
|||
|
||||
| Model | 5 saatte bir istek | haftalık istek | aylık istek |
|
||||
| ----------------- | ------------------ | -------------- | ----------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -97,8 +101,9 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
|
|||
|
||||
Tahminler, gözlemlenen ortalama istek modellerine dayanır:
|
||||
|
||||
- Grok 4.5 — İstek başına 1.100 girdi, 71.500 önbelleğe alınmış, 220 çıktı token'ı
|
||||
- GLM-5.2/5.1 — İstek başına 700 girdi, 52.000 önbelleğe alınmış, 150 çıktı token'ı
|
||||
- Kimi K2.7 Code/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
|
||||
- Kimi K3/K2.7/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
|
||||
- DeepSeek V4 Pro — İstek başına 750 girdi, 82.000 önbelleğe alınmış, 290 çıktı token'ı
|
||||
- DeepSeek V4 Flash — İstek başına 790 girdi, 68.000 önbelleğe alınmış, 280 çıktı token'ı
|
||||
- MiniMax M3 — İstek başına 510 girdi, 56.000 önbelleğe alınmış, 190 çıktı token'ı
|
||||
|
|
@ -109,26 +114,28 @@ Tahminler, gözlemlenen ortalama istek modellerine dayanır:
|
|||
- MiMo-V2.5 — İstek başına 830 girdi, 71.500 önbelleğe alınmış, 295 çıktı token'ı
|
||||
- MiMo-V2.5-Pro — İstek başına 790 girdi, 86.000 önbelleğe alınmış, 305 çıktı token'ı
|
||||
|
||||
Tahminler ayrıca 1M token başına aşağıdaki fiyatlara da dayanır:
|
||||
Tahminler ayrıca 1M token başına aşağıdaki fiyatlara ve her modelle birlikte sunulan aylık kullanıma dayanır:
|
||||
|
||||
| Model | Input | Output | Cached Read | Cached Write |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| Model | Input | Output | Cached Read | Cached Write | Kullanım |
|
||||
| ---------------------------- | ----- | ------ | ----------- | ------------ | -------- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
Mevcut kullanımınızı **<a href={console}>konsoldan</a>** takip edebilirsiniz.
|
||||
|
||||
|
|
@ -146,14 +153,28 @@ Eğer Zen bakiyenizde kredileriniz varsa, konsoldan **Bakiye kullan (Use balance
|
|||
|
||||
---
|
||||
|
||||
### Bazı modellerin kullanımı neden daha düşük?
|
||||
|
||||
Go ile aylık 10$ ödersiniz ve size bunun 6 katı değerinde kullanım sunmayı hedefleriz.
|
||||
|
||||
Çoğu modelde bunu toplu indirimler ve ayrılmış GPU kapasitesi sayesinde mümkün kılıyoruz. Ardından bu tasarrufları 6 katlık çarpanla size aktarıyoruz.
|
||||
|
||||
Bazı modellerde ise model yeni olduğu veya herkese açık fiyatlandırması zaten indirimli olduğu için henüz indirim pazarlığı yapma ya da modeli daha düşük maliyetle barındırma fırsatımız olmadı.
|
||||
|
||||
Bu modellerde bile model sağlayıcılarına doğrudan ödeme yaptığınız duruma kıyasla biraz daha fazla kullanım elde edersiniz; bu nedenle yukarıdaki tabloda kullanım çarpanları daha düşüktür.
|
||||
|
||||
---
|
||||
|
||||
## Uç Noktalar
|
||||
|
||||
Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsiniz.
|
||||
|
||||
| Model | Model ID | Uç Nokta | AI SDK Paketi |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -167,7 +188,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) formatı `opencode-go/<model-id>` şeklindedir. Örneğin, Kimi K2.7 Code için yapılandırmanızda `opencode-go/kimi-k2.7-code` kullanmalısınız.
|
||||
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) formatı `opencode-go/<model-id>` şeklindedir. Örneğin, Kimi K3 için yapılandırmanızda `opencode-go/kimi-k3` kullanmalısınız.
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -49,8 +49,10 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
|
|||
|
||||
当前支持的模型列表包括：
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -81,10 +83,12 @@ OpenCode Go 包含以下限制：
|
|||
|
||||
| Model | 每 5 小时请求数 | 每周请求数 | 每月请求数 |
|
||||
| ----------------- | --------------- | ---------- | ---------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -97,8 +101,9 @@ OpenCode Go 包含以下限制：
|
|||
|
||||
预估值基于观察到的平均请求模式：
|
||||
|
||||
- Grok 4.5 — 每次请求 1,100 个输入 token，71,500 个缓存 token，220 个输出 token
|
||||
- GLM-5.2/5.1 — 每次请求 700 个输入 token，52,000 个缓存 token，150 个输出 token
|
||||
- Kimi K2.7 Code/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
|
||||
- Kimi K3/K2.7/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 — 每次请求 750 个输入 token，82,000 个缓存 token，290 个输出 token
|
||||
- DeepSeek V4 Flash — 每次请求 790 个输入 token，68,000 个缓存 token，280 个输出 token
|
||||
- MiMo-V2.5 — 每次请求 830 个输入 token，71,500 个缓存 token，295 个输出 token
|
||||
|
|
@ -109,26 +114,28 @@ OpenCode Go 包含以下限制：
|
|||
- Qwen3.7 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
|
||||
- Qwen3.6 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
|
||||
|
||||
预估值还基于以下每 1M tokens 的价格：
|
||||
预估值还基于以下每 1M tokens 的价格以及每个模型包含的每月使用额度：
|
||||
|
||||
| 模型 | 输入 | 输出 | 缓存读取 | 缓存写入 |
|
||||
| ---------------------------- | ----- | ----- | -------- | -------- |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| 模型 | 输入 | 输出 | 缓存读取 | 缓存写入 | 使用额度 |
|
||||
| ---------------------------- | ----- | ------ | -------- | -------- | -------- |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
你可以在 **<a href={console}>控制台</a>** 中跟踪你当前的使用情况。
|
||||
|
||||
|
|
@ -146,14 +153,28 @@ OpenCode Go 包含以下限制：
|
|||
|
||||
---
|
||||
|
||||
### 为什么某些模型的使用额度较低
|
||||
|
||||
使用 Go 时，你每月支付 $10，而我们的目标是为你提供 6 倍于此的使用额度。
|
||||
|
||||
对于大多数模型，我们通过批量折扣和预留 GPU 容量来实现这一目标。然后，我们通过 6 倍乘数将这些节省的成本回馈给你。
|
||||
|
||||
对于某些模型，我们还没有机会协商折扣或以更低的成本托管它们，这可能是因为模型较新，或者其公开价格已经是折扣价。
|
||||
|
||||
对于这些模型，你获得的使用额度仍会略高于直接向模型提供商付费；这就是它们在上表中的使用额度乘数较低的原因。
|
||||
|
||||
---
|
||||
|
||||
## API 端点
|
||||
|
||||
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 |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -167,7 +188,7 @@ OpenCode Go 包含以下限制：
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
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 K2.7 Code，你将在配置中使用 `opencode-go/kimi-k2.7-code`。
|
||||
你的 OpenCode 配置中的 [模型 ID](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，对于 Kimi K3，你将在配置中使用 `opencode-go/kimi-k3`。
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
|
|
@ -49,8 +49,10 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
|
|||
|
||||
目前的模型清單包括：
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **Kimi K3**
|
||||
- **Kimi K2.7 Code**
|
||||
- **Kimi K2.6**
|
||||
- **MiMo-V2.5**
|
||||
|
|
@ -81,10 +83,12 @@ OpenCode Go 包含以下限制：
|
|||
|
||||
| Model | 每 5 小時請求數 | 每週請求數 | 每月請求數 |
|
||||
| ----------------- | --------------- | ---------- | ---------- |
|
||||
| Grok 4.5 | 80 | 190 | 380 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| Kimi K3 | 140 | 340 | 680 |
|
||||
| Kimi K2.7 Code | 1,350 | 4,630 | 9,250 |
|
||||
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
|
||||
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
|
||||
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
|
||||
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
|
||||
|
|
@ -97,8 +101,9 @@ OpenCode Go 包含以下限制：
|
|||
|
||||
這些預估值是基於觀察到的平均請求模式：
|
||||
|
||||
- Grok 4.5 — 每次請求 1,100 個輸入 token、71,500 個快取 token、220 個輸出 token
|
||||
- GLM-5.2/5.1 — 每次請求 700 個輸入 token、52,000 個快取 token、150 個輸出 token
|
||||
- Kimi K2.7 Code/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
|
||||
- Kimi K3/K2.7/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 — 每次請求 750 個輸入 token、82,000 個快取 token、290 個輸出 token
|
||||
- DeepSeek V4 Flash — 每次請求 790 個輸入 token、68,000 個快取 token、280 個輸出 token
|
||||
- MiniMax M3 — 每次請求 510 個輸入 token、56,000 個快取 token、190 個輸出 token
|
||||
|
|
@ -109,26 +114,28 @@ OpenCode Go 包含以下限制：
|
|||
- MiMo-V2.5 — 每次請求 830 個輸入 token、71,500 個快取 token、295 個輸出 token
|
||||
- MiMo-V2.5-Pro — 每次請求 790 個輸入 token、86,000 個快取 token、305 個輸出 token
|
||||
|
||||
這些預估值也基於以下每 1M tokens 的價格：
|
||||
這些預估值也基於以下每 1M tokens 的價格，以及每個模型所包含的每月使用量：
|
||||
|
||||
| 模型 | 輸入 | 輸出 | 快取讀取 | 快取寫入 |
|
||||
| ---------------------------- | ----- | ----- | -------- | -------- |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - |
|
||||
| 模型 | 輸入 | 輸出 | 快取讀取 | 快取寫入 | 使用量 |
|
||||
| ---------------------------- | ----- | ------ | -------- | -------- | ------ |
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.50 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
| Kimi K2.7 Code | $0.95 | $4.00 | $0.19 | - | $60 |
|
||||
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - | $60 |
|
||||
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| MiniMax M3 | $0.30 | $1.20 | $0.06 | - | $60 |
|
||||
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 | $60 |
|
||||
| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 | $60 |
|
||||
| Qwen3.7 Plus (≤ 256K tokens) | $0.40 | $1.60 | $0.04 | $0.50 | $60 |
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.0145 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
|
||||
您可以在 **<a href={console}>console</a>** 中追蹤您目前的使用量。
|
||||
|
||||
|
|
@ -146,14 +153,28 @@ OpenCode Go 包含以下限制：
|
|||
|
||||
---
|
||||
|
||||
### 為什麼部分模型的使用量較低
|
||||
|
||||
使用 Go 時，您每月支付 $10，而我們的目標是提供相當於 6 倍費用的使用量。
|
||||
|
||||
對大多數模型而言，我們透過大量採購折扣和預留 GPU 容量來達成此目標，再以 6 倍乘數將節省的成本回饋給您。
|
||||
|
||||
對於部分模型，我們尚未有機會議定折扣或以較低成本託管，原因可能是模型剛推出，或其公開價格已經過折扣。
|
||||
|
||||
對於這些模型，您獲得的使用量仍會比直接向模型供應商付費多一些；這就是上表中其使用量乘數較低的原因。
|
||||
|
||||
---
|
||||
|
||||
## 端點
|
||||
|
||||
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 |
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K2.7 Code | kimi-k2.7-code | `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/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
|
|
@ -167,7 +188,7 @@ OpenCode Go 包含以下限制：
|
|||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
|
||||
|
||||
您的 OpenCode 設定中的 [model id](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，Kimi K2.7 Code 在設定中應使用 `opencode-go/kimi-k2.7-code`。
|
||||
您的 OpenCode 設定中的 [model id](/docs/config/#models) 使用 `opencode-go/<model-id>` 格式。例如，Kimi K3 在設定中應使用 `opencode-go/kimi-k3`。
|
||||
|
||||
---
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue