{ "description": "Google Gemini 系列模型规格。参数来源:config-center compute/providers/google.json。", "specs": [ { "id": "gemini-3.1-pro-preview", "displayName": "Gemini 3.1 Pro", "family": "gemini-3.1", "spec": { "contextWindow": 1048576, "maxOutputTokens": 65536, "capabilities": ["chat", "reasoning", "code", "vision", "ultra_long_context", "tool_use"], "serviceType": ["chat"], "defaultTemperature": 1, "supportsReasoning": true } }, { "id": "gemini-3-flash-preview", "displayName": "Gemini 3 Flash", "family": "gemini-3", "spec": { "contextWindow": 1048576, "maxOutputTokens": 65536, "capabilities": ["chat", "reasoning", "code", "vision", "ultra_long_context", "tool_use", "fast"], "serviceType": ["chat"], "defaultTemperature": 1, "supportsReasoning": true } }, { "id": "gemini-2.5-pro", "displayName": "Gemini 2.5 Pro", "family": "gemini-2.5", "match": { "patterns": ["gemini-2.5-pro*"] }, "spec": { "contextWindow": 1048576, "maxOutputTokens": 65536, "capabilities": ["chat", "reasoning", "code", "vision", "ultra_long_context", "tool_use"], "serviceType": ["chat"], "defaultTemperature": 1, "supportsReasoning": true } }, { "id": "gemini-2.5-flash", "displayName": "Gemini 2.5 Flash", "family": "gemini-2.5", "match": { "patterns": ["gemini-2.5-flash*"] }, "spec": { "contextWindow": 1048576, "maxOutputTokens": 65536, "capabilities": ["chat", "reasoning", "code", "vision", "ultra_long_context", "tool_use", "fast"], "serviceType": ["chat"], "defaultTemperature": 1, "supportsReasoning": true } }, { "id": "gemini-3.1-flash-lite-preview", "displayName": "Gemini 3.1 Flash-Lite Preview", "family": "gemini-3.1", "match": { "exact": ["gemini-3.1-flash-lite-preview"], "patterns": ["gemini-3.1-flash-lite*"] }, "spec": { "contextWindow": 1048576, "maxOutputTokens": 65536, "capabilities": ["chat", "reasoning", "code", "vision", "ultra_long_context", "tool_use", "fast"], "serviceType": ["fast"], "defaultTemperature": 1, "description": "Google Gemini 3.1 Flash-Lite Preview,低成本高吞吐多模态模型" } }, { "id": "text-embedding-005", "displayName": "Text Embedding 005", "family": "text-embedding", "match": { "exact": ["text-embedding-005"] }, "spec": { "contextWindow": 2048, "capabilities": ["text_embedding", "semantic_search"], "serviceType": ["embedding"], "description": "Google 文本嵌入模型,768 维度" } } ] }