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docs(go): add Qwen3.7 Max (#29389)

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Jack
2026-05-27 01:26:57 +08:00
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parent 797359fbf0
commit 1554a5a82e
56 changed files with 234 additions and 123 deletions
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10
packages/web/src/content/docs/ar/go.mdx
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@@ -56,9 +56,10 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -86,9 +87,10 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
@@ -100,8 +102,9 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
- 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 M2.7/M2.5 — ‏300 input، و55,000 cached، و125 output tokens لكل طلب
- Qwen3.5 Plus — ‏410 input، و47,000 cached، و140 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
- Qwen3.5 Plus — ‏410 input، و47,000 cached، و140 output tokens لكل طلب
- MiMo-V2.5 — ‏1000 input، و60,000 cached، و140 output tokens لكل طلب
- MiMo-V2.5-Pro — ‏350 input، و41,000 cached، و250 output tokens لكل طلب
@@ -137,6 +140,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/ar/zen.mdx
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@@ -84,10 +84,11 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -126,6 +127,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/bs/go.mdx
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@@ -66,9 +66,10 @@ Trenutna lista modela uključuje:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -98,6 +99,7 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -110,8 +112,9 @@ Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
- 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 M2.7/M2.5 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
- Qwen3.5 Plus — 410 ulaznih, 47,000 keširanih, 140 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
- Qwen3.5 Plus — 410 ulaznih, 47,000 keširanih, 140 izlaznih tokena po zahtjevu
- MiMo-V2.5 — 1000 ulaznih, 60,000 keširanih, 140 izlaznih tokena po zahtjevu
- MiMo-V2.5-Pro — 350 ulaznih, 41,000 keširanih, 250 izlaznih tokena po zahtjevu
@@ -149,6 +152,7 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/bs/zen.mdx
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@@ -89,10 +89,11 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/da/go.mdx
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@@ -66,9 +66,10 @@ Den nuværende liste over modeller inkluderer:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -98,6 +99,7 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -110,8 +112,9 @@ Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
- 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 M2.7/M2.5 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
- Qwen3.5 Plus — 410 input, 47.000 cachelagrede, 140 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
- Qwen3.5 Plus — 410 input, 47.000 cachelagrede, 140 output-tokens pr. anmodning
- MiMo-V2.5 — 1000 input, 60.000 cachelagrede, 140 output-tokens pr. anmodning
- MiMo-V2.5-Pro — 350 input, 41.000 cachelagrede, 250 output-tokens pr. anmodning
@@ -149,6 +152,7 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/da/zen.mdx
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@@ -89,10 +89,11 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/de/go.mdx
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@@ -58,9 +58,10 @@ Die aktuelle Liste der Modelle umfasst:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -90,6 +91,7 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -102,8 +104,9 @@ Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
- 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 M2.7/M2.5 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
- Qwen3.5 Plus — 410 Input-, 47.000 Cached-, 140 Output-Tokens 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
- Qwen3.5 Plus — 410 Input-, 47.000 Cached-, 140 Output-Tokens pro Anfrage
- MiMo-V2.5 — 1.000 Input-, 60.000 Cached-, 140 Output-Tokens pro Anfrage
- MiMo-V2.5-Pro — 350 Input-, 41.000 Cached-, 250 Output-Tokens pro Anfrage
@@ -139,6 +142,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/de/zen.mdx
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@@ -80,10 +80,11 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -122,6 +123,7 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/es/go.mdx
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@@ -66,9 +66,10 @@ La lista actual de modelos incluye:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -98,6 +99,7 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -110,8 +112,9 @@ Las estimaciones se basan en los patrones de peticiones promedio observados:
- 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 M2.7/M2.5 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
- Qwen3.5 Plus — 410 tokens de entrada, 47,000 en caché, 140 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
- Qwen3.5 Plus — 410 tokens de entrada, 47,000 en caché, 140 tokens de salida por petición
- MiMo-V2.5 — 1000 tokens de entrada, 60,000 en caché, 140 tokens de salida por petición
- MiMo-V2.5-Pro — 350 tokens de entrada, 41,000 en caché, 250 tokens de salida por petición
@@ -149,6 +152,7 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/es/zen.mdx
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@@ -89,10 +89,11 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/fr/go.mdx
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@@ -56,9 +56,10 @@ La liste actuelle des modèles comprend :
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,6 +89,7 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -100,8 +102,9 @@ Les estimations sont basées sur les modèles de requêtes moyens observés :
- 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 M2.7/M2.5 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
- Qwen3.5 Plus — 410 tokens en entrée, 47,000 en cache, 140 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
- Qwen3.5 Plus — 410 tokens en entrée, 47,000 en cache, 140 tokens en sortie par requête
- MiMo-V2.5 — 1000 tokens en entrée, 60,000 en cache, 140 tokens en sortie par requête
- MiMo-V2.5-Pro — 350 tokens en entrée, 41,000 en cache, 250 tokens en sortie par requête
@@ -137,6 +140,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/fr/zen.mdx
View File

@@ -80,10 +80,11 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -122,6 +123,7 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

6
packages/web/src/content/docs/go.mdx
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@@ -69,6 +69,7 @@ The current list of models includes:
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -98,6 +99,7 @@ The table below provides an estimated request count based on typical Go usage pa
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -112,8 +114,9 @@ Estimates are based on observed average request patterns:
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
- MiMo-V2.5 — 1000 input, 60,000 cached, 140 output tokens per request
- MiMo-V2.5-Pro — 350 input, 41,000 cached, 250 output tokens per request
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
You can track your current usage in the **<a href={console}>console</a>**.
@@ -149,6 +152,7 @@ You can also access Go models through the following API endpoints.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

8
packages/web/src/content/docs/it/go.mdx
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@@ -64,9 +64,10 @@ L'elenco attuale dei modelli include:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -96,6 +97,7 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -108,8 +110,9 @@ Le stime si basano sui pattern medi di richieste osservati:
- 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 M2.7/M2.5 — 300 di input, 55.000 in cache, 125 token di output per richiesta
- Qwen3.5 Plus — 410 di input, 47.000 in cache, 140 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
- Qwen3.5 Plus — 410 di input, 47.000 in cache, 140 token di output per richiesta
- MiMo-V2.5 — 1000 di input, 60.000 in cache, 140 token di output per richiesta
- MiMo-V2.5-Pro — 350 di input, 41.000 in cache, 250 token di output per richiesta
@@ -147,6 +150,7 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/it/zen.mdx
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@@ -89,10 +89,11 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/ja/go.mdx
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@@ -56,9 +56,10 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,6 +89,7 @@ OpenCode Goには以下の制限が含まれています：
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -100,8 +102,9 @@ OpenCode Goには以下の制限が含まれています：
- 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 M2.7/M2.5 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
- Qwen3.5 Plus — リクエストあたり 入力 410トークン、キャッシュ 47,000トークン、出力 140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
- Qwen3.5 Plus — リクエストあたり 入力 410トークン、キャッシュ 47,000トークン、出力 140トークン
- MiMo-V2.5 — リクエストあたり 入力 1000トークン、キャッシュ 60,000トークン、出力 140トークン
- MiMo-V2.5-Pro — リクエストあたり 入力 350トークン、キャッシュ 41,000トークン、出力 250トークン
@@ -137,6 +140,7 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/ja/zen.mdx
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@@ -80,10 +80,11 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -122,6 +123,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/ko/go.mdx
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@@ -56,9 +56,10 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,6 +89,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -100,8 +102,9 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
- 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 M2.7/M2.5 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
- Qwen3.5 Plus — 요청당 입력 410, 캐시 47,000, 출력 토큰 140
- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
- Qwen3.5 Plus — 요청당 입력 410, 캐시 47,000, 출력 토큰 140
- MiMo-V2.5 — 요청당 입력 1000, 캐시 60,000, 출력 토큰 140
- MiMo-V2.5-Pro — 요청당 입력 350, 캐시 41,000, 출력 토큰 250
@@ -137,6 +140,7 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/ko/zen.mdx
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@@ -80,10 +80,11 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -122,6 +123,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/nb/go.mdx
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@@ -66,9 +66,10 @@ Den nåværende listen over modeller inkluderer:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -98,6 +99,7 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -110,8 +112,9 @@ Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
- 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 M2.7/M2.5 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
- Qwen3.5 Plus — 410 input, 47 000 bufret, 140 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
- Qwen3.5 Plus — 410 input, 47 000 bufret, 140 output-tokens per forespørsel
- MiMo-V2.5 — 1000 input, 60 000 bufret, 140 output-tokens per forespørsel
- MiMo-V2.5-Pro — 350 input, 41 000 bufret, 250 output-tokens per forespørsel
@@ -149,6 +152,7 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/nb/zen.mdx
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@@ -89,10 +89,11 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/pl/go.mdx
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@@ -60,9 +60,10 @@ Obecna lista modeli obejmuje:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -92,6 +93,7 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -104,8 +106,9 @@ Szacunki opierają się na zaobserwowanych średnich wzorcach żądań:
- 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 M2.7/M2.5 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
- Qwen3.5 Plus — 410 tokenów wejściowych, 47 000 w pamięci podręcznej, 140 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
- Qwen3.5 Plus — 410 tokenów wejściowych, 47 000 w pamięci podręcznej, 140 tokenów wyjściowych na żądanie
- MiMo-V2.5 — 1000 tokenów wejściowych, 60 000 w pamięci podręcznej, 140 tokenów wyjściowych na żądanie
- MiMo-V2.5-Pro — 350 tokenów wejściowych, 41 000 w pamięci podręcznej, 250 tokenów wyjściowych na żądanie
@@ -141,6 +144,7 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/pl/zen.mdx
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@@ -89,6 +89,7 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/pt-br/go.mdx
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@@ -66,9 +66,10 @@ A lista atual de modelos inclui:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -98,6 +99,7 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -110,8 +112,9 @@ As estimativas baseiam-se nos padrões médios de requisições observados:
- 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 M2.7/M2.5 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
- Qwen3.5 Plus — 410 tokens de entrada, 47.000 em cache, 140 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
- Qwen3.5 Plus — 410 tokens de entrada, 47.000 em cache, 140 tokens de saída por requisição
- MiMo-V2.5 — 1000 tokens de entrada, 60.000 em cache, 140 tokens de saída por requisição
- MiMo-V2.5-Pro — 350 tokens de entrada, 41.000 em cache, 250 tokens de saída por requisição
@@ -149,6 +152,7 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/pt-br/zen.mdx
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@@ -80,6 +80,7 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -122,6 +123,7 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/ru/go.mdx
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@@ -66,9 +66,10 @@ OpenCode Go работает так же, как и любой другой пр
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -98,6 +99,7 @@ OpenCode Go включает следующие лимиты:
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -110,8 +112,9 @@ OpenCode Go включает следующие лимиты:
- 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 M2.7/M2.5 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
- Qwen3.5 Plus — 410 входных, 47,000 кешированных, 140 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
- Qwen3.5 Plus — 410 входных, 47,000 кешированных, 140 выходных токенов на запрос
- MiMo-V2.5 — 1000 входных, 60,000 кешированных, 140 выходных токенов на запрос
- MiMo-V2.5-Pro — 350 входных, 41,000 кешированных, 250 выходных токенов на запрос
@@ -149,6 +152,7 @@ OpenCode Go включает следующие лимиты:
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/ru/zen.mdx
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@@ -89,6 +89,7 @@ OpenCode Zen работает как любой другой провайдер
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/th/go.mdx
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@@ -56,9 +56,10 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,6 +89,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -100,8 +102,9 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
- 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 M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens ต่อ request
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens 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
- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens ต่อ request
- MiMo-V2.5 — 1000 input, 60,000 cached, 140 output tokens ต่อ request
- MiMo-V2.5-Pro — 350 input, 41,000 cached, 250 output tokens ต่อ request
@@ -137,6 +140,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/th/zen.mdx
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@@ -82,10 +82,11 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -124,6 +125,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

8
packages/web/src/content/docs/tr/go.mdx
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@@ -56,9 +56,10 @@ Mevcut model listesi şunları içerir:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,6 +89,7 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
@@ -100,8 +102,9 @@ Tahminler, gözlemlenen ortalama istek modellerine dayanmaktadır:
- 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 M2.7/M2.5 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
- Qwen3.5 Plus — İstek başına 410 girdi, 47.000 önbelleğe alınmış, 140 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
- Qwen3.5 Plus — İstek başına 410 girdi, 47.000 önbelleğe alınmış, 140 çıktı token'ı
- MiMo-V2.5 — İstek başına 1000 girdi, 60.000 önbelleğe alınmış, 140 çıktı token'ı
- MiMo-V2.5-Pro — İstek başına 350 girdi, 41.000 önbelleğe alınmış, 250 çıktı token'ı
@@ -137,6 +140,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

4
packages/web/src/content/docs/tr/zen.mdx
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@@ -80,10 +80,11 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -122,6 +123,7 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

2
packages/web/src/content/docs/zen.mdx
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@@ -89,6 +89,7 @@ You can also access our models through the following API endpoints.
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -133,6 +134,7 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

10
packages/web/src/content/docs/zh-cn/go.mdx
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@@ -56,9 +56,10 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -86,9 +87,10 @@ OpenCode Go 包含以下限制：
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
@@ -102,8 +104,9 @@ OpenCode Go 包含以下限制：
- MiMo-V2.5 — 每次请求 1000 个输入 token，60,000 个缓存 token，140 个输出 token
- MiMo-V2.5-Pro — 每次请求 350 个输入 token，41,000 个缓存 token，250 个输出 token
- 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
- Qwen3.5 Plus — 每次请求 410 个输入 token，47,000 个缓存 token，140 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
- Qwen3.5 Plus — 每次请求 410 个输入 token，47,000 个缓存 token，140 个输出 token
你可以在 **<a href={console}>控制台</a>** 中跟踪你当前的使用情况。
@@ -137,6 +140,7 @@ OpenCode Go 包含以下限制：
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/zh-cn/zen.mdx
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@@ -80,6 +80,7 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -122,6 +123,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |

10
packages/web/src/content/docs/zh-tw/go.mdx
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@@ -56,9 +56,10 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
- **MiniMax M2.7**
- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -86,9 +87,10 @@ OpenCode Go 包含以下限制：
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
| Qwen3.7 Max | 950 | 2,390 | 4,770 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
@@ -100,8 +102,9 @@ OpenCode Go 包含以下限制：
- 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 M2.7/M2.5 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
- Qwen3.5 Plus — 每次請求 410 個輸入 token、47,000 個快取 token、140 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
- Qwen3.5 Plus — 每次請求 410 個輸入 token、47,000 個快取 token、140 個輸出 token
- MiMo-V2.5 — 每次請求 1000 個輸入 token、60,000 個快取 token、140 個輸出 token
- MiMo-V2.5-Pro — 每次請求 350 個輸入 token、41,000 個快取 token、250 個輸出 token
@@ -137,6 +140,7 @@ OpenCode Go 包含以下限制：
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.7 Max | qwen3.7-max | `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` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |

2
packages/web/src/content/docs/zh-tw/zen.mdx
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@@ -84,6 +84,7 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.1 Pro | gemini-3.1-pro | `https://opencode.ai/zen/v1/models/gemini-3.1-pro` | `@ai-sdk/google` |
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -127,6 +128,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
| Qwen3.7 Max | $1.65 | $4.951 | $0.165 | $2.063 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |