LLM/opencode
1
0
Fork 0
mirror of https://github.com/anomalyco/opencode.git synced 2026-05-13 15:44:56 +00:00
Code Issues Packages Projects Releases Wiki Activity

go: deprecate old models

Browse Source
This commit is contained in:
Frank
2026-05-06 13:10:46 -04:00
parent 344ccc647b
commit 38b0cdc149
38 changed files with 141 additions and 289 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
packages/web/src/content/docs/ar/go.mdx
View File

@@ -57,10 +57,8 @@ OpenCode Go حاليًا في المرحلة التجريبية.
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ OpenCode Go حاليًا في المرحلة التجريبية.
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 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 |
@@ -110,10 +106,8 @@ OpenCode Go حاليًا في المرحلة التجريبية.
- 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
- Qwen3.6 Plus — ‏500 input، و57,000 cached، و190 output tokens لكل طلب
- MiMo-V2-Pro — ‏350 input، و41,000 cached، و250 output tokens لكل طلب
- MiMo-V2-Omni — ‏1000 input، و60,000 cached، و140 output tokens لكل طلب
- MiMo-V2.5-Pro — ‏350 input، و41,000 cached، و250 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
يمكنك تتبّع استخدامك الحالي في **<a href={console}>console</a>**.
@@ -143,10 +137,8 @@ OpenCode Go حاليًا في المرحلة التجريبية.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/bs/go.mdx
View File

@@ -67,10 +67,8 @@ Trenutna lista modela uključuje:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -100,10 +98,8 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -120,10 +116,8 @@ Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
- 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
- Qwen3.6 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
- MiMo-V2-Pro — 350 ulaznih, 41,000 keširanih, 250 izlaznih tokena po zahtjevu
- MiMo-V2-Omni — 1000 ulaznih, 60,000 keširanih, 140 izlaznih tokena po zahtjevu
- MiMo-V2.5-Pro — 350 ulaznih, 41,000 keširanih, 250 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
Svoju trenutnu potrošnju možete pratiti u **<a href={console}>konzoli</a>**.
@@ -155,10 +149,8 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/da/go.mdx
View File

@@ -67,10 +67,8 @@ Den nuværende liste over modeller inkluderer:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -100,10 +98,8 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -120,10 +116,8 @@ Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
- 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
- Qwen3.6 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
- MiMo-V2-Pro — 350 input, 41.000 cachelagrede, 250 output-tokens pr. anmodning
- MiMo-V2-Omni — 1000 input, 60.000 cachelagrede, 140 output-tokens pr. anmodning
- MiMo-V2.5-Pro — 350 input, 41.000 cachelagrede, 250 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
Du kan spore dit nuværende forbrug i **<a href={console}>konsollen</a>**.
@@ -155,10 +149,8 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/de/go.mdx
View File

@@ -59,10 +59,8 @@ Die aktuelle Liste der Modelle umfasst:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -92,10 +90,8 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -112,10 +108,8 @@ Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
- 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
- Qwen3.6 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
- MiMo-V2-Pro — 350 Input-, 41.000 Cached-, 250 Output-Tokens pro Anfrage
- MiMo-V2-Omni — 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
- 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
Du kannst deine aktuelle Nutzung in der **<a href={console}>Console</a>** verfolgen.
@@ -145,10 +139,8 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/es/go.mdx
View File

@@ -67,10 +67,8 @@ La lista actual de modelos incluye:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -100,10 +98,8 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -120,10 +116,8 @@ Las estimaciones se basan en los patrones de peticiones promedio observados:
- 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
- Qwen3.6 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
- MiMo-V2-Pro — 350 tokens de entrada, 41,000 en caché, 250 tokens de salida por petición
- MiMo-V2-Omni — 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
- 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
Puedes realizar un seguimiento de tu uso actual en la **<a href={console}>consola</a>**.
@@ -155,10 +149,8 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/fr/go.mdx
View File

@@ -57,10 +57,8 @@ La liste actuelle des modèles comprend :
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,10 +106,8 @@ Les estimations sont basées sur les modèles de requêtes moyens observés :
- 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
- Qwen3.6 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
- MiMo-V2-Pro — 350 tokens en entrée, 41,000 en cache, 250 tokens en sortie par requête
- MiMo-V2-Omni — 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
- 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
Vous pouvez suivre votre utilisation actuelle dans la **<a href={console}>console</a>**.
@@ -143,10 +137,8 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/go.mdx
View File

@@ -67,10 +67,8 @@ The current list of models includes:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **MiniMax M2.7**
- **Qwen3.5 Plus**
@@ -100,10 +98,8 @@ The table below provides an estimated request count based on typical Go usage pa
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -118,10 +114,8 @@ Estimates are based on observed average request patterns:
- 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 M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
- MiMo-V2-Pro — 350 input, 41,000 cached, 250 output tokens per request
- MiMo-V2-Omni — 1000 input, 60,000 cached, 140 output tokens per request
- MiMo-V2.5-Pro — 350 input, 41,000 cached, 250 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
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
@@ -155,10 +149,8 @@ You can also access Go models through the following API endpoints.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/it/go.mdx
View File

@@ -65,10 +65,8 @@ L'elenco attuale dei modelli include:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -98,10 +96,8 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -118,10 +114,8 @@ Le stime si basano sui pattern medi di richieste osservati:
- 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
- Qwen3.6 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
- MiMo-V2-Pro — 350 di input, 41.000 in cache, 250 token di output per richiesta
- MiMo-V2-Omni — 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
- 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
Puoi monitorare il tuo utilizzo attuale nella **<a href={console}>console</a>**.
@@ -153,10 +147,8 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/ja/go.mdx
View File

@@ -57,10 +57,8 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ OpenCode Goには以下の制限が含まれています：
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,10 +106,8 @@ OpenCode Goには以下の制限が含まれています：
- 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
- Qwen3.6 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
- MiMo-V2-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
- MiMo-V2-Omni — 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
- 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
現在の利用状況は**<a href={console}>コンソール</a>**で追跡できます。
@@ -143,10 +137,8 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/ko/go.mdx
View File

@@ -57,10 +57,8 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,10 +106,8 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
- 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
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
- MiMo-V2-Pro — 요청당 입력 350, 캐시 41,000, 출력 토큰 250
- MiMo-V2-Omni — 요청당 입력 1000, 캐시 60,000, 출력 토큰 140
- MiMo-V2.5-Pro — 요청당 입력 350, 캐시 41,000, 출력 토큰 250
- 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
현재 사용량은 **<a href={console}>console</a>**에서 확인할 수 있습니다.
@@ -143,10 +137,8 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/nb/go.mdx
View File

@@ -67,10 +67,8 @@ Den nåværende listen over modeller inkluderer:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -100,10 +98,8 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -120,10 +116,8 @@ Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
- 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
- Qwen3.6 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
- MiMo-V2-Pro — 350 input, 41 000 bufret, 250 output-tokens per forespørsel
- MiMo-V2-Omni — 1000 input, 60 000 bufret, 140 output-tokens per forespørsel
- MiMo-V2.5-Pro — 350 input, 41 000 bufret, 250 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
Du kan spore din nåværende bruk i **<a href={console}>konsollen</a>**.
@@ -155,10 +149,8 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/pl/go.mdx
View File

@@ -61,10 +61,8 @@ Obecna lista modeli obejmuje:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -94,10 +92,8 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -114,10 +110,8 @@ Szacunki opierają się na zaobserwowanych średnich wzorcach żądań:
- 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
- Qwen3.6 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
- MiMo-V2-Pro — 350 tokenów wejściowych, 41 000 w pamięci podręcznej, 250 tokenów wyjściowych na żądanie
- MiMo-V2-Omni — 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
- 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
Możesz śledzić swoje bieżące zużycie w **<a href={console}>konsoli</a>**.
@@ -147,10 +141,8 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/pt-br/go.mdx
View File

@@ -67,10 +67,8 @@ A lista atual de modelos inclui:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -100,10 +98,8 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -120,10 +116,8 @@ As estimativas baseiam-se nos padrões médios de requisições observados:
- 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
- Qwen3.6 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
- MiMo-V2-Pro — 350 tokens de entrada, 41.000 em cache, 250 tokens de saída por requisição
- MiMo-V2-Omni — 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
- 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
Você pode acompanhar o seu uso atual no **<a href={console}>console</a>**.
@@ -155,10 +149,8 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/ru/go.mdx
View File

@@ -67,10 +67,8 @@ OpenCode Go работает так же, как и любой другой пр
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -100,10 +98,8 @@ OpenCode Go включает следующие лимиты:
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -120,10 +116,8 @@ OpenCode Go включает следующие лимиты:
- 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
- Qwen3.6 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
- MiMo-V2-Pro — 350 входных, 41,000 кешированных, 250 выходных токенов на запрос
- MiMo-V2-Omni — 1000 входных, 60,000 кешированных, 140 выходных токенов на запрос
- MiMo-V2.5-Pro — 350 входных, 41,000 кешированных, 250 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
Вы можете отслеживать текущее использование в **<a href={console}>консоли</a>**.
@@ -155,10 +149,8 @@ OpenCode Go включает следующие лимиты:
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/th/go.mdx
View File

@@ -57,10 +57,8 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,10 +106,8 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
- 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
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
- MiMo-V2-Pro — 350 input, 41,000 cached, 250 output tokens ต่อ request
- MiMo-V2-Omni — 1000 input, 60,000 cached, 140 output tokens ต่อ request
- MiMo-V2.5-Pro — 350 input, 41,000 cached, 250 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
คุณสามารถติดตามการใช้งานปัจจุบันของคุณได้ใน **<a href={console}>console</a>**
@@ -143,10 +137,8 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/tr/go.mdx
View File

@@ -57,10 +57,8 @@ Mevcut model listesi şunları içerir:
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
| 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 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
@@ -110,10 +106,8 @@ Tahminler, gözlemlenen ortalama istek modellerine dayanmaktadır:
- 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
- Qwen3.6 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
- MiMo-V2-Pro — İstek başına 350 girdi, 41.000 önbelleğe alınmış, 250 çıktı token'ı
- MiMo-V2-Omni — 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
- 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
Mevcut kullanımınızı **<a href={console}>konsoldan</a>** takip edebilirsiniz.
@@ -143,10 +137,8 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/zh-cn/go.mdx
View File

@@ -57,10 +57,8 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ OpenCode Go 包含以下限制：
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 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 |
@@ -107,10 +103,8 @@ OpenCode Go 包含以下限制：
- Kimi K2.5/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
- DeepSeek V4 Pro — 每次请求 750 个输入 token，82,000 个缓存 token，290 个输出 token
- DeepSeek V4 Flash — 每次请求 790 个输入 token，68,000 个缓存 token，280 个输出 token
- MiMo-V2-Pro — 每次请求 350 个输入 token，41,000 个缓存 token，250 个输出 token
- MiMo-V2-Omni — 每次请求 1000 个输入 token，60,000 个缓存 token，140 个输出 token
- MiMo-V2.5-Pro — 每次请求 350 个输入 token，41,000 个缓存 token，250 个输出 token
- 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
- Qwen3.6 Plus — 每次请求 500 个输入 token，57,000 个缓存 token，190 个输出 token
@@ -143,10 +137,8 @@ OpenCode Go 包含以下限制：
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |

16
packages/web/src/content/docs/zh-tw/go.mdx
View File

@@ -57,10 +57,8 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **GLM-5.1**
- **Kimi K2.5**
- **Kimi K2.6**
- **MiMo-V2-Pro**
- **MiMo-V2-Omni**
- **MiMo-V2.5-Pro**
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
@@ -90,10 +88,8 @@ OpenCode Go 包含以下限制：
| GLM-5 | 1,150 | 2,880 | 5,750 |
| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| MiMo-V2-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2-Omni | 2,150 | 5,450 | 10,900 |
| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
| MiMo-V2.5 (≤ 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 |
@@ -110,10 +106,8 @@ OpenCode Go 包含以下限制：
- 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
- Qwen3.6 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
- MiMo-V2-Pro — 每次請求 350 個輸入 token、41,000 個快取 token、250 個輸出 token
- MiMo-V2-Omni — 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
- 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
您可以在 **<a href={console}>console</a>** 中追蹤您目前的使用量。
@@ -143,10 +137,8 @@ OpenCode Go 包含以下限制：
| Kimi K2.6 | kimi-k2.6 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Pro | deepseek-v4-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Pro | mimo-v2-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2-Omni | mimo-v2-omni | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiMo-V2.5 | mimo-v2.5 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| 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` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/alibaba` |