Files
config-center/compute/model-specs/google.json
Johnson 768da94ad0 feat: sync missing models from OpenRouter (fix watermark)
- Add 10 missing models released between 2026-06-30 and 2026-07-15
- OpenAI: GPT-5.6 Sol/Terra/Luna (+ Pro variants) — 6 models
- Anthropic: Claude Sonnet 5
- Google: Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite)
- xAI: Grok 4.5
- Tencent: Hy3 (stable release, distinct from hy3-preview)
- Update .sync-watermark from 1782276303 to 1784554658
- presetDataVersion: 79 → 80
2026-07-21 16:24:03 +08:00

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{
"description": "Google Gemini 系列模型规格。参数来源config-center compute/providers/google.json。",
"specs": [
{
"id": "gemini-3.1-flash-lite-image",
"displayName": "Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite)",
"family": "gemini-3.1",
"match": { "exact": ["gemini-3.1-flash-lite-image"], "patterns": ["gemini-3.1-flash-lite-image*"] },
"spec": {
"contextWindow": 65536,
"maxOutputTokens": 65536,
"capabilities": ["chat", "vision", "image_generation"],
"serviceType": ["image_gen"],
"description": "Nano Banana 2 LiteGoogle 最快的文生图模型"
}
},
{
"id": "gemini-3.5-flash",
"displayName": "Gemini 3.5 Flash",
"family": "gemini-3.5",
"match": { "exact": ["gemini-3.5-flash"], "patterns": ["gemini-3.5-flash*"] },
"spec": {
"contextWindow": 1048576,
"maxOutputTokens": 65536,
"capabilities": ["chat", "reasoning", "code", "vision", "video_understanding", "audio_understanding", "ultra_long_context", "tool_use", "fast"],
"serviceType": ["chat"],
"defaultTemperature": 1,
"supportsReasoning": true,
"description": "Google Gemini 3.5 Flash全模态高性价比模型100 万上下文"
}
},
{
"id": "gemini-3.1-flash-image",
"displayName": "Gemini 3.1 Flash Image (Nano Banana 2)",
"family": "gemini-3.1",
"match": { "exact": ["gemini-3.1-flash-image"], "patterns": ["gemini-3.1-flash-image*"] },
"spec": {
"contextWindow": 131072,
"maxOutputTokens": 32768,
"capabilities": ["image_generation", "image_editing", "text_rendering"],
"serviceType": ["image_gen"],
"description": "Google Nano Banana 2最新文生图与编辑模型"
}
},
{
"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"
}
}
]
}