docs: fix Kimi K2.7 Go model ID (#34413)

packages/web/src/content/docs/ar/go.mdx

@@ -98,7 +98,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 تستند التقديرات إلى متوسط أنماط الطلبات المرصودة:
 
 - GLM-5.2/5.1 — ‏700 input، و52,000 cached، و150 output tokens لكل طلب
-- Kimi K2.7/K2.6 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
+- Kimi K2.7 Code/K2.6 — ‏870 input، و55,000 cached، و200 output tokens لكل طلب
 - DeepSeek V4 Pro — ‏750 input، و82,000 cached، و290 output tokens لكل طلب
 - DeepSeek V4 Flash — ‏790 input، و68,000 cached، و280 output tokens لكل طلب
 - MiniMax M3 — ‏510 input، و56,000 cached، و190 output tokens لكل طلب
@@ -154,7 +154,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/bs/go.mdx

@@ -108,7 +108,7 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
 Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
 
 - GLM-5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
-- Kimi K2.7/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
+- Kimi K2.7 Code/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
 - DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
 - DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
 - MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
@@ -166,7 +166,7 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/da/go.mdx

@@ -108,7 +108,7 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
 Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
 
 - GLM-5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
-- Kimi K2.7/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
+- Kimi K2.7 Code/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
 - DeepSeek V4 Pro — 750 input, 82.000 cachelagrede, 290 output-tokens pr. anmodning
 - DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
 - MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
@@ -166,7 +166,7 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/de/go.mdx

@@ -100,7 +100,7 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
 Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
 
 - GLM-5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
-- Kimi K2.7/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
+- Kimi K2.7 Code/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
 - DeepSeek V4 Pro — 750 Input-, 82.000 Cached-, 290 Output-Tokens pro Anfrage
 - DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
 - MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
@@ -156,7 +156,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/es/go.mdx

@@ -108,7 +108,7 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
 Las estimaciones se basan en los patrones de peticiones promedio observados:
 
 - GLM-5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
-- Kimi K2.7/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
+- Kimi K2.7 Code/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
 - DeepSeek V4 Pro — 750 tokens de entrada, 82,000 en caché, 290 tokens de salida por petición
 - DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
 - MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
@@ -166,7 +166,7 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/fr/go.mdx

@@ -98,7 +98,7 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
 Les estimations sont basées sur les schémas de requêtes moyens observés :
 
 - GLM-5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
-- Kimi K2.7/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
+- Kimi K2.7 Code/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
 - DeepSeek V4 Pro — 750 tokens en entrée, 82,000 en cache, 290 tokens en sortie par requête
 - DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
 - MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
@@ -154,7 +154,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/go.mdx

@@ -108,7 +108,7 @@ The table below provides an estimated request count based on typical Go usage pa
 The estimates are based on observed average request patterns:
 
 - GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
-- Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
+- Kimi K2.7 Code/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
 - DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
 - DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
 - MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
@@ -166,7 +166,7 @@ You can also access Go models through the following API endpoints.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/it/go.mdx

@@ -106,7 +106,7 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
 Le stime si basano sui pattern medi di richieste osservati:
 
 - GLM-5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
-- Kimi K2.7/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
+- Kimi K2.7 Code/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
 - DeepSeek V4 Pro — 750 di input, 82.000 in cache, 290 token di output per richiesta
 - DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
 - MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
@@ -164,7 +164,7 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/ja/go.mdx

@@ -98,7 +98,7 @@ OpenCode Goには以下の制限が含まれています：
 推定値は、観測された平均的なリクエストパターンに基づいています：
 
 - GLM-5.2/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
-- Kimi K2.7/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
+- Kimi K2.7 Code/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
 - DeepSeek V4 Pro — リクエストあたり 入力 750トークン、キャッシュ 82,000トークン、出力 290トークン
 - DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
 - MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
@@ -154,7 +154,7 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/ko/go.mdx

@@ -98,7 +98,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
 이 예상치는 관찰된 평균 요청 패턴을 기준으로 합니다.
 
 - GLM-5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
-- Kimi K2.7/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
+- Kimi K2.7 Code/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
 - DeepSeek V4 Pro — 요청당 입력 750, 캐시 82,000, 출력 토큰 290
 - DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
 - MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
@@ -154,7 +154,7 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/nb/go.mdx

@@ -108,7 +108,7 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
 Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
 
 - GLM-5.2/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
-- Kimi K2.7/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
+- Kimi K2.7 Code/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
 - DeepSeek V4 Pro — 750 input, 82 000 bufret, 290 output-tokens per forespørsel
 - DeepSeek V4 Flash — 790 input, 68 000 bufret, 280 output-tokens per forespørsel
 - MiniMax M3 — 510 input, 56 000 bufret, 190 output-tokens per forespørsel
@@ -166,7 +166,7 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/pl/go.mdx

@@ -102,7 +102,7 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
 Szacunki te opierają się na zaobserwowanych średnich wzorcach żądań:
 
 - GLM-5.2/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
-- Kimi K2.7/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
+- Kimi K2.7 Code/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
 - DeepSeek V4 Pro — 750 tokenów wejściowych, 82 000 w pamięci podręcznej, 290 tokenów wyjściowych na żądanie
 - DeepSeek V4 Flash — 790 tokenów wejściowych, 68 000 w pamięci podręcznej, 280 tokenów wyjściowych na żądanie
 - MiniMax M3 — 510 tokenów wejściowych, 56 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
@@ -158,7 +158,7 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

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

@@ -108,7 +108,7 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
 As estimativas se baseiam nos padrões médios de requisições observados:
 
 - GLM-5.2/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
-- Kimi K2.7/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
+- Kimi K2.7 Code/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
 - DeepSeek V4 Pro — 750 tokens de entrada, 82.000 em cache, 290 tokens de saída por requisição
 - DeepSeek V4 Flash — 790 tokens de entrada, 68.000 em cache, 280 tokens de saída por requisição
 - MiniMax M3 — 510 tokens de entrada, 56.000 em cache, 190 tokens de saída por requisição
@@ -166,7 +166,7 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/ru/go.mdx

@@ -108,7 +108,7 @@ OpenCode Go включает следующие лимиты:
 Эти оценки основаны на наблюдаемых средних показателях запросов:
 
 - GLM-5.2/5.1 — 700 входных, 52,000 кешированных, 150 выходных токенов на запрос
-- Kimi K2.7/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
+- Kimi K2.7 Code/K2.6 — 870 входных, 55,000 кешированных, 200 выходных токенов на запрос
 - DeepSeek V4 Pro — 750 входных, 82,000 кешированных, 290 выходных токенов на запрос
 - DeepSeek V4 Flash — 790 входных, 68,000 кешированных, 280 выходных токенов на запрос
 - MiniMax M3 — 510 входных, 56,000 кешированных, 190 выходных токенов на запрос
@@ -166,7 +166,7 @@ OpenCode Go включает следующие лимиты:
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/th/go.mdx

@@ -98,7 +98,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 การประมาณการนี้อ้างอิงจากรูปแบบการใช้งาน request โดยเฉลี่ยที่สังเกตพบ:
 
 - GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens ต่อ request
-- Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
+- Kimi K2.7 Code/K2.6 — 870 input, 55,000 cached, 200 output tokens ต่อ request
 - DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens ต่อ request
 - DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens ต่อ request
 - MiniMax M3 — 510 input, 56,000 cached, 190 output tokens ต่อ request
@@ -154,7 +154,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

packages/web/src/content/docs/tr/go.mdx

@@ -98,7 +98,7 @@ Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek say
 Tahminler, gözlemlenen ortalama istek modellerine dayanır:
 
 - GLM-5.2/5.1 — İstek başına 700 girdi, 52.000 önbelleğe alınmış, 150 çıktı token'ı
-- Kimi K2.7/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
+- Kimi K2.7 Code/K2.6 — İstek başına 870 girdi, 55.000 önbelleğe alınmış, 200 çıktı token'ı
 - DeepSeek V4 Pro — İstek başına 750 girdi, 82.000 önbelleğe alınmış, 290 çıktı token'ı
 - DeepSeek V4 Flash — İstek başına 790 girdi, 68.000 önbelleğe alınmış, 280 çıktı token'ı
 - MiniMax M3 — İstek başına 510 girdi, 56.000 önbelleğe alınmış, 190 çıktı token'ı
@@ -154,7 +154,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

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

@@ -98,7 +98,7 @@ OpenCode Go 包含以下限制：
 预估值基于观察到的平均请求模式：
 
 - GLM-5.2/5.1 — 每次请求 700 个输入 token，52,000 个缓存 token，150 个输出 token
-- Kimi K2.7/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
+- Kimi K2.7 Code/K2.6 — 每次请求 870 个输入 token，55,000 个缓存 token，200 个输出 token
 - DeepSeek V4 Pro — 每次请求 750 个输入 token，82,000 个缓存 token，290 个输出 token
 - DeepSeek V4 Flash — 每次请求 790 个输入 token，68,000 个缓存 token，280 个输出 token
 - MiMo-V2.5 — 每次请求 830 个输入 token，71,500 个缓存 token，295 个输出 token
@@ -154,7 +154,7 @@ OpenCode Go 包含以下限制：
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |

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

@@ -98,7 +98,7 @@ OpenCode Go 包含以下限制：
 這些預估值是基於觀察到的平均請求模式：
 
 - GLM-5.2/5.1 — 每次請求 700 個輸入 token、52,000 個快取 token、150 個輸出 token
-- Kimi K2.7/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
+- Kimi K2.7 Code/K2.6 — 每次請求 870 個輸入 token、55,000 個快取 token、200 個輸出 token
 - DeepSeek V4 Pro — 每次請求 750 個輸入 token、82,000 個快取 token、290 個輸出 token
 - DeepSeek V4 Flash — 每次請求 790 個輸入 token、68,000 個快取 token、280 個輸出 token
 - MiniMax M3 — 每次請求 510 個輸入 token、56,000 個快取 token、190 個輸出 token
@@ -154,7 +154,7 @@ OpenCode Go 包含以下限制：
 | ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
 | GLM-5.2           | glm-5.2           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | GLM-5.1           | glm-5.1           | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
-| Kimi K2.7         | kimi-k2.7         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| Kimi K2.7 Code    | kimi-k2.7-code    | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | Kimi K2.6         | kimi-k2.6         | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Pro   | deepseek-v4-pro   | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
 | DeepSeek V4 Flash | deepseek-v4-flash | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |