mixrouter
  1. google原生格式
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
        • 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-4-plus
        • glm-4.5
        • glm-4.6
        • glm-4.7
      • 阿里巴巴
        • 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-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
      POST
    • anthropic格式
      POST
  • openai
    • gpt-5.2
      POST
    • openai格式
      POST
    • responses
      POST
  • deepseek
    • chat/completions
      POST
  • 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
  1. google原生格式

gemini-robotics-er-1.5-preview

POST
https://api.mixrouter.com/v1beta/models/gemini-robotics-er-1.5-preview: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
{
  "contents": [
    {
      "parts": [
        {
          "inlineData": {
            "mimeType": "image/png",
            "data": "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

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-robotics-er-1.5-preview:generateContent' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
  "contents": [
    {
      "parts": [
        {
          "inlineData": {
            "mimeType": "image/png",
            "data": "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

Responses

🟢200OK
application/json
Body

Example
{
  "candidates": [
    {
      "content": {
        "parts": [
          {
            "text": "```json\n[\n  {\"point\": [245, 155], \"label\": \"plant\"},\n  {\"point\": [311, 155], \"label\": \"pot\"},\n  {\"point\": [492, 155], \"label\": \"plant stand\"},\n  {\"point\": [501, 455], \"label\": \"pen holder\"},\n  {\"point\": [381, 455], \"label\": \"pens\"},\n  {\"point\": [540, 630], \"label\": \"notebook\"},\n  {\"point\": [711, 582], \"label\": \"notebook\"},\n  {\"point\": [675, 290], \"label\": \"envelopes\"},\n  {\"point\": [763, 270], \"label\": \"pen\"},\n  {\"point\": [390, 780], \"label\": \"desk lamp\"}\n]\n```"
          }
        ],
        "role": "model"
      },
      "finishReason": "STOP",
      "index": 0
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 331,
    "candidatesTokenCount": 223,
    "totalTokenCount": 554,
    "promptTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 73
      },
      {
        "modality": "IMAGE",
        "tokenCount": 258
      }
    ]
  },
  "modelVersion": "gemini-robotics-er-1.5-preview",
  "responseId": "O_dJaaevBsrNjuMP3JG20Ao"
}
Modified at 2025-12-31 06:43:37
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