mixrouter
  1. google原生格式
mixrouter
  • mixrouter
    • mixrouter接口说明
    • 已支持的模型列表
    • 大模型官方文档
    • 已支持的模型列表
      • 语言大模型
        • OpenAI
          • gpt-4
          • gpt-4.1
          • gpt-4o
          • gpt-4o-mini
          • gpt-5
          • gpt-5-chat
          • gpt-5-mini
          • gpt-5-nano
          • gpt-5.1
          • gpt-5.1-chat-latest
          • gpt-5.1-codex(仅支持/v1/responses)
          • gpt-5.2
          • gpt-5.2-chat
          • gpt-5.2-pro(仅支持/v1/responses)
          • gpt-oss-120b
          • o1
          • o3
          • o3-mini
          • o3-deep-research
          • o3-pro
          • o4-mini
          • o4-mini-deep-research
        • Google
          • gemini-2.0-flash
          • gemini-2.5-computer-use-preview-10-2025
          • gemini-2.5-flash
          • gemini-2.5-flash-lite
          • gemini-2.5-flash-lite-preview
          • gemini-2.5-pro
          • gemini-3-flash-preview
          • gemini-3-pro-preview
          • gemini-robotics-er-1.5-preview
        • Anthropic
          • 通用接口
          • claude-opus-4-5-20251101
          • claude-opus-4-20250514
          • claude-sonnet-4-20250514
          • claude-sonnet-4-5-20250929
        • DeepSeek
          • deepseek-chat
          • deepseek-reasoner
        • MiniMax
          • minimax-m2.5
          • abab6.5s-chat
          • minimax-m2
        • Moonshot
          • kimi-k2
          • kimi-k2-0711-preview
          • kimi-k2-0905
          • kimi-k2-instruct
          • kimi-k2-thinking
          • moonshot-v1-128k
          • moonshot-v1-32k
          • moonshot-v1-8k
          • moonshot-v1-128k-vision-preview
          • moonshot-v1-32k-vision-preview
          • moonshot-v1-8k-vision-preview
        • xAI
          • grok-4
          • grok-4-1-fast-non-reasoning
          • grok-4-1-fast-reasoning
        • 字节跳动
          • 通用接口
        • 智谱
          • glm-5
          • glm-4-plus
          • glm-4.5
          • glm-4.6
          • glm-4.7
        • 阿里巴巴
          • qwen3.5-122b-a10b(多模态)
          • qwen3.5-397b-a17b(多模态)
          • qwen-max
          • qwen-max-2025-01-25
          • qwen-max-latest
          • qwen-plus
          • qwen-plus-latest
          • qwen-turbo
          • qwen2.5-7b-instruct
          • qwen2.5-32b-instruct
          • qwen2.5-72b-instruct
          • qwen3-coder-plus
          • qwen3-coder-plus-2025-07-22
          • qwen3-max
          • qwen3-max-preview
          • qwen3-235b-a22b
          • qwen3-235b-a22b-instruct-2507
          • qwen3-235b-a22b-thinking-2507
          • qwen3-8b
          • qwen3-coder-30b-a3b-instruct
          • qwen3-next-80b-a3b-instruct
          • qwen3-next-80b-a3b-thinking
          • qwen-vl-max(视觉理解)
          • qwen-vl-plus(视觉理解)
          • qwen3-vl-235b-a22b-instruct(视觉理解)
          • qwen3-vl-235b-a22b-thinking(视觉理解)
        • 百度
          • ernie-x1-32k
        • 腾讯
          • hunyuan-t1-latest
        • 讯飞
          • SparkDesk-v4.0
        • 蚂蚁
          • Ling-1T
          • Ring-1T
        • 阶跃星辰
          • step-3
      • 图片生成
        • 通用接口
          • 图片生成
          • 图片编辑
        • OpenAI
          • gpt-image系列图片生成
          • gpt-image系列图片编辑
          • dall-e-3图片生成
        • Google
          • gemini-3-pro-image-preview(google格式)
          • gemini-2.5-flash-image
          • gemini-2.5-flash-image-preview
          • gemini-3-pro-image-preview
        • Anthropic
        • BFL
          • flux-1-kontext-pro
        • ImagineArt
          • imagineart-1.5-preview
      • 音视频处理
        • OpenAI
          • gpt-4o-audio-preview
          • gpt-audio
        • 阿里巴巴
          • qwen3-tts-flash
        • Elevenlabs
          • eleven_v3
        • MiniMax
          • 通用接口
      • 视频生成
        • Vidu
          • vidu-2.0-img2video
          • viduq2-pro提交图生视频任务
        • 字节跳动
          • 提交图生视频生成任务
          • 提交文生视频生成任务
        • 快手
          • 提交图生视频任务
          • 提交文生视频任务
        • 腾讯
          • hunyuan-video-v1.5
        • 海螺
          • 提交图生视频任务
          • 提交文生视频任务
        • sora
          • sora-2
          • sora-2-pro
        • Google
          • veo-3.1-generate-preview
          • veo-3.1-fast-generate-preview
        • 阿里巴巴
          • wan2.6-i2v
          • wan2.6-t2v
        • pixverse
          • pixverse-v5.5-t2v
          • pixverse-v5.5-i2v
      • 多模态模型
        • 智谱
          • glm-4.5v
          • glm-4.6v
        • 阿里巴巴
          • qwen2.5-omni-7b
          • qwen2.5-vl-72b-instruct
          • qwen3-omni-flash-2025-12-01
        • 日日新
          • SenseNova-V6-Pro
      • Realtime
        • OpenAI
          • gpt-4o-mini-realtime-preview
          • gpt-4o-realtime-preview
      • 向量化
        • OpenAI
          • text-embedding-3-large
          • text-embedding-3-small
          • text-embedding-ada-002
          • text-embedding-v1
    • 已支持的搜索服务
      • serper
        • get方式
        • post方式
    • gemini
      • openai格式
        • gemini-开启thinking
        • chat/completions
      • google原生格式
        • google格式
          POST
        • gemini-robotics-er-1.5-preview
          POST
    • anthropic
      • anthropic格式
        • tools调用
        • thinking
        • image理解
        • code_execution
      • openai格式
      • openai格式
      • anthropic格式
    • openai
      • gpt-5.2
      • openai格式
      • responses
    • deepseek
      • chat/completions
    • qwen
      • chat/completions(开启thinking)
      • 流式/chat/completions
      • qwen提交图生视频任务
    • 豆包
      • chat/completions
      • qwen提交文生视频任务
      • 获取视频生成任务结果
    • 获取异步任务结果
      GET
  • mixrouter
    • qwen3.5-122b-a10b(多模态)
      POST
  1. google原生格式

google格式

POST
https://api.mixrouter.com/v1beta/models/gemini-2.5-flash:generateContent

Request

Authorization
Provide your bearer token in the
Authorization
header when making requests to protected resources.
Example:
Authorization: Bearer ********************
Body Params application/jsonRequired

Example
{
  "systemInstruction": {
    "parts": [
      {
        "text": "你是一个智能助手,帮助人们解答疑问"
      }
    ]
  },
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "你是谁?"
        }
      ]
    }
  ],
  "generationConfig": {
    "temperature": 1,
    "topP": 1,
    "thinkingConfig": {
      "includeThoughts": true,
      "thinkingBudget": 200
    }
  }
}

Request Code Samples

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.mixrouter.com/v1beta/models/gemini-2.5-flash:generateContent' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
  "systemInstruction": {
    "parts": [
      {
        "text": "你是一个智能助手,帮助人们解答疑问"
      }
    ]
  },
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "你是谁?"
        }
      ]
    }
  ],
  "generationConfig": {
    "temperature": 1,
    "topP": 1,
    "thinkingConfig": {
      "includeThoughts": true,
      "thinkingBudget": 200
    }
  }
}'

Responses

🟢200OK
application/json
Body

Example
{
  "candidates": [
    {
      "content": {
        "parts": [
          {
            "text": "**Responding to a Direct Inquiry**\n\nOkay, here's what I'm thinking. The user, a fellow expert, has posed a direct question: \"Who are you?\"  Right, need to address that directly and effectively.  I want my response to be truthful, of course, that's paramount.  Also, it has to be clear and easy to understand, and hopefully, it should offer some context.\n\nSo, I'll draw on the standard language used in these scenarios. I need to be explicit about being an AI, a large language model. I'll include the standard 'trained by Google' part for clarity about my origins. Then, I'll add that standard 'I am an AI assistant' phrase, followed by what I do. I want to convey that I'm here to offer assistance, to answer their question, and provide information, basically. Let's see... I'll pull that all together and make it concise and polite.\n",
            "thought": true
          },
          {
            "text": "我是一个大型语言模型,由 Google 训练。我在这里是为了帮助你回答问题、提供信息,并进行各种有益的交流。"
          }
        ],
        "role": "model"
      },
      "finishReason": "STOP",
      "index": 0
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 13,
    "candidatesTokenCount": 30,
    "totalTokenCount": 231,
    "promptTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 13
      }
    ],
    "thoughtsTokenCount": 188
  },
  "modelVersion": "gemini-2.5-flash",
  "responseId": "V_k2ad7rEuP_juMP78yggAg"
}
Modified at 2025-12-31 06:43:32
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