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5
packages/web/src/content/docs/ar/go.mdx
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@ -57,6 +57,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -99,6 +101,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- Kimi K2.5/K2.6 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
- DeepSeek V4 Pro — ‏750 input، و82,000 cached، و290 output tokens لكل طلب
- DeepSeek V4 Flash — ‏790 input، و68,000 cached، و280 output tokens لكل طلب
- MiniMax M3 — ‏810 input، و62,000 cached، و225 output tokens لكل طلب
- MiniMax M2.7/M2.5 — ‏300 input، و55,000 cached، و125 output tokens لكل طلب
- Qwen3.7 Max — ‏420 input، و66,000 cached، و200 output tokens لكل طلب
- Qwen3.6 Plus — ‏500 input، و57,000 cached، و190 output tokens لكل طلب
@ -115,6 +118,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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packages/web/src/content/docs/ar/zen.mdx
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@ -97,9 +97,9 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/<model-id>`. على سبيل المثال، بالنسبة إلى GPT 5.5، ستستخدم `opencode/gpt-5.5` في إعداداتك.

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packages/web/src/content/docs/bs/go.mdx
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@ -67,6 +67,7 @@ Trenutna lista modela uključuje:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -96,6 +97,7 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -109,6 +111,7 @@ Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
- Kimi K2.5/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
- DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
- MiniMax M3 — 810 ulaznih, 62,000 keširanih, 225 izlaznih tokena po zahtjevu
- MiniMax M2.7/M2.5 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- Qwen3.7 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
- Qwen3.6 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
@ -125,6 +128,7 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -164,6 +168,7 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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packages/web/src/content/docs/bs/zen.mdx
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@ -102,9 +102,9 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) u vašoj OpenCode konfiguraciji koristi format
`opencode/<model-id>`. Na primjer, za GPT 5.5 u konfiguraciji biste

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packages/web/src/content/docs/da/go.mdx
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@ -67,6 +67,7 @@ Den nuværende liste over modeller inkluderer:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -96,6 +97,7 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -109,6 +111,7 @@ Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
- Kimi K2.5/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 — 810 input, 62.000 cachelagrede, 225 output-tokens pr. anmodning
- MiniMax M2.7/M2.5 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- Qwen3.7 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
- Qwen3.6 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
@ -125,6 +128,7 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -164,6 +168,7 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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packages/web/src/content/docs/da/zen.mdx
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@ -102,9 +102,9 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) i din OpenCode-konfiguration
bruger formatet `opencode/<model-id>`. For eksempel ville du for GPT 5.5

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packages/web/src/content/docs/de/go.mdx
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@ -59,6 +59,7 @@ Die aktuelle Liste der Modelle umfasst:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -88,6 +89,7 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -101,6 +103,7 @@ Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
- Kimi K2.5/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 — 810 Input-, 62.000 Cached-, 225 Output-Tokens pro Anfrage
- MiniMax M2.7/M2.5 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- Qwen3.7 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
- Qwen3.6 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
@ -117,6 +120,7 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -154,6 +158,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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packages/web/src/content/docs/de/zen.mdx
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@ -93,9 +93,9 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/<model-id>`. Für GPT 5.5 würdest du zum Beispiel `opencode/gpt-5.5` in deiner Konfiguration verwenden.

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packages/web/src/content/docs/es/go.mdx
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@ -67,6 +67,7 @@ La lista actual de modelos incluye:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -96,6 +97,7 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -109,6 +111,7 @@ Las estimaciones se basan en los patrones de peticiones promedio observados:
- Kimi K2.5/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 — 810 tokens de entrada, 62,000 en caché, 225 tokens de salida por petición
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- Qwen3.7 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
- Qwen3.6 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
@ -125,6 +128,7 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -164,6 +168,7 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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packages/web/src/content/docs/es/zen.mdx
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@ -102,9 +102,9 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
El [identificador del modelo](/docs/config/#models) en tu configuración de OpenCode
usa el formato `opencode/<model-id>`. Por ejemplo, para GPT 5.5, usarías

5
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@ -57,6 +57,7 @@ La liste actuelle des modèles comprend :
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -99,6 +101,7 @@ Les estimations sont basées sur les schémas de requêtes moyens observés :
- Kimi K2.5/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 — 810 tokens en entrée, 62,000 en cache, 225 tokens en sortie par requête
- MiniMax M2.7/M2.5 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- Qwen3.7 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
- Qwen3.6 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
@ -115,6 +118,7 @@ Les estimations sont également basées sur les prix suivants par 1M tokens :
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
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@ -93,9 +93,9 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/<model-id>`. Par exemple, pour GPT 5.5, vous utiliseriez `opencode/gpt-5.5` dans votre configuration.

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@ -67,6 +67,7 @@ The current list of models includes:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -96,6 +97,7 @@ The table below provides an estimated request count based on typical Go usage pa
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -109,6 +111,7 @@ The estimates are based on observed average request patterns:
- Kimi K2.5/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 — 810 input, 62,000 cached, 225 output tokens per request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
@ -125,6 +128,7 @@ The estimates are also based on the following prices per 1M tokens:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -164,6 +168,7 @@ You can also access Go models through the following API endpoints.
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

5
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@ -65,6 +65,7 @@ L'elenco attuale dei modelli include:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -94,6 +95,7 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -107,6 +109,7 @@ Le stime si basano sui pattern medi di richieste osservati:
- Kimi K2.5/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 — 810 di input, 62.000 in cache, 225 token di output per richiesta
- MiniMax M2.7/M2.5 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- Qwen3.7 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
- Qwen3.6 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
@ -123,6 +126,7 @@ Le stime si basano anche sui seguenti prezzi per 1M token:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -162,6 +166,7 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
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@ -102,9 +102,9 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Il [model id](/docs/config/#models) nella config di OpenCode
usa il formato `opencode/<model-id>`. Per esempio, per GPT 5.5, useresti

5
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@ -57,6 +57,7 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ OpenCode Goには以下の制限が含まれています：
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -99,6 +101,7 @@ OpenCode Goには以下の制限が含まれています：
- Kimi K2.5/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
- DeepSeek V4 Pro — 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 810トークン、キャッシュ 62,000トークン、出力 225トークン
- MiniMax M2.7/M2.5 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
- Qwen3.7 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
- Qwen3.6 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
@ -115,6 +118,7 @@ OpenCode Goには以下の制限が含まれています：
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
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@ -93,9 +93,9 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/<model-id>` 形式です。たとえば、GPT 5.5 では設定に `opencode/gpt-5.5` を使用します。

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@ -57,6 +57,7 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -99,6 +101,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
- Kimi K2.5/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 810, 캐시 62,000, 출력 토큰 225
- MiniMax M2.7/M2.5 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
@ -115,6 +118,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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@ -93,9 +93,9 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode config에서 사용하는 [모델 ID](/docs/config/#models)는 `opencode/<model-id>` 형식입니다. 예를 들어 GPT 5.5를 사용하려면 config에서 `opencode/gpt-5.5`를 사용하면 됩니다.

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@ -67,6 +67,7 @@ Den nåværende listen over modeller inkluderer:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -96,6 +97,7 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -109,6 +111,7 @@ Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
- Kimi K2.5/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 — 810 input, 62 000 bufret, 225 output-tokens per forespørsel
- MiniMax M2.7/M2.5 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- Qwen3.7 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
- Qwen3.6 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
@ -125,6 +128,7 @@ Estimatene er også basert på følgende priser per 1M tokens:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -164,6 +168,7 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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@ -102,9 +102,9 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[modell-id](/docs/config/#models) i OpenCode-konfigurasjonen din
bruker formatet `opencode/<model-id>`. For eksempel, for GPT 5.5, ville du

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@ -61,6 +61,7 @@ Obecna lista modeli obejmuje:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -90,6 +91,7 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -103,6 +105,7 @@ Szacunki te opierają się na zaobserwowanych średnich wzorcach żądań:
- Kimi K2.5/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 — 810 tokenów wejściowych, 62 000 w pamięci podręcznej, 225 tokenów wyjściowych na żądanie
- MiniMax M2.7/M2.5 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- Qwen3.7 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Qwen3.6 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
@ -119,6 +122,7 @@ Szacunki opierają się również na następujących cenach za 1M tokenów:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -156,6 +160,7 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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@ -102,9 +102,9 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode używa formatu
`opencode/<model-id>`. Na przykład dla GPT 5.5 użyjesz w konfiguracji

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@ -67,6 +67,7 @@ A lista atual de modelos inclui:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -96,6 +97,7 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -109,6 +111,7 @@ As estimativas se baseiam nos padrões médios de requisições observados:
- Kimi K2.5/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 — 810 tokens de entrada, 62.000 em cache, 225 tokens de saída por requisição
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- Qwen3.7 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
- Qwen3.6 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
@ -125,6 +128,7 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -164,6 +168,7 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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@ -93,9 +93,9 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
O [model id](/docs/config/#models) na sua configuração do OpenCode usa o formato `opencode/<model-id>`. Por exemplo, para GPT 5.5, você usaria `opencode/gpt-5.5` na sua configuração.

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@ -67,6 +67,7 @@ OpenCode Go работает так же, как и любой другой пр
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -96,6 +97,7 @@ OpenCode Go включает следующие лимиты:
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -109,6 +111,7 @@ OpenCode Go включает следующие лимиты:
- Kimi K2.5/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 — 810 входных, 62,000 кешированных, 225 выходных токенов на запрос
- MiniMax M2.7/M2.5 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- Qwen3.7 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
- Qwen3.6 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
@ -125,6 +128,7 @@ OpenCode Go включает следующие лимиты:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -164,6 +168,7 @@ OpenCode Go включает следующие лимиты:
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

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@ -102,9 +102,9 @@ OpenCode Zen работает как любой другой провайдер
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[идентификатор модели](/docs/config/#models) в вашей конфигурации OpenCode
использует формат `opencode/<model-id>`. Например, для GPT 5.5 вам нужно

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@ -57,6 +57,7 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -99,6 +101,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
- Kimi K2.5/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 — 810 input, 62,000 cached, 225 output tokens ต่อ request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
@ -115,6 +118,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/th/zen.mdx
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@ -95,9 +95,9 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณใช้รูปแบบ `opencode/<model-id>` ตัวอย่างเช่น สำหรับ GPT 5.5 คุณจะใช้ `opencode/gpt-5.5` ใน config ของคุณ

5
packages/web/src/content/docs/tr/go.mdx
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@ -57,6 +57,7 @@ Mevcut model listesi şunları içerir:
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -99,6 +101,7 @@ Tahminler, gözlemlenen ortalama istek modellerine dayanır:
- Kimi K2.5/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 810 girdi, 62.000 önbelleğe alınmış, 225 çıktı token'ı
- MiniMax M2.7/M2.5 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- Qwen3.7 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
- Qwen3.6 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
@ -115,6 +118,7 @@ Tahminler ayrıca 1M token başına aşağıdaki fiyatlara da dayanır:
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/tr/zen.mdx
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@ -93,9 +93,9 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) `opencode/<model-id>` biçimini kullanır. Örneğin, GPT 5.5 için yapılandırmanızda `opencode/gpt-5.5` kullanırsınız.

2
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@ -102,9 +102,9 @@ You can also access our models through the following API endpoints.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
The [model id](/docs/config/#models) in your OpenCode config
uses the format `opencode/<model-id>`. For example, for GPT 5.5, you would

5
packages/web/src/content/docs/zh-cn/go.mdx
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@ -57,6 +57,7 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ OpenCode Go 包含以下限制：
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -101,6 +103,7 @@ OpenCode Go 包含以下限制：
- 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
- MiMo-V2.5-Pro — 每次请求 790 个输入 token，86,000 个缓存 token，305 个输出 token
- MiniMax M3 — 每次请求 810 个输入 token，62,000 个缓存 token，225 个输出 token
- MiniMax M2.7/M2.5 — 每次请求 300 个输入 token，55,000 个缓存 token，125 个输出 token
- Qwen3.7 Max — 每次请求 420 个输入 token，66,000 个缓存 token，200 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
@ -115,6 +118,7 @@ OpenCode Go 包含以下限制：
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ OpenCode Go 包含以下限制：
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/zh-cn/zen.mdx
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@ -93,9 +93,9 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
在你的 OpenCode 配置中，[模型 ID](/docs/config/#models) 使用 `opencode/<model-id>` 格式。例如，对于 GPT 5.5，你需要在配置中使用 `opencode/gpt-5.5`。

5
packages/web/src/content/docs/zh-tw/go.mdx
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@ -57,6 +57,7 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **MiniMax M3**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
@ -86,6 +87,7 @@ OpenCode Go 包含以下限制：
| 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 | 1,400 | 3,500 | 7,000 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
@ -99,6 +101,7 @@ OpenCode Go 包含以下限制：
- Kimi K2.5/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
- DeepSeek V4 Pro — 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 810 個輸入 token、62,000 個快取 token、225 個輸出 token
- MiniMax M2.7/M2.5 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- Qwen3.7 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
- Qwen3.6 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
@ -115,6 +118,7 @@ OpenCode Go 包含以下限制：
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| MiMo V2.5 | $0.14 | $0.28 | $0.0028 | - |
| MiMo V2.5 Pro | $1.74 | $3.48 | $0.0145 | - |
| MiniMax M3 | $0.60 | $2.40 | $0.12 | $0.75 |
| 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 |
@ -152,6 +156,7 @@ OpenCode Go 包含以下限制：
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M3 | minimax-m3 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/zh-tw/zen.mdx
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@ -97,9 +97,9 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定中的 [模型 ID](/docs/config/#models) 會使用 `opencode/<model-id>`
格式。例如，如果是 GPT 5.5，你會在設定中使用 `opencode/gpt-5.5`。