Grok 4.5

    xai/grok-4.5
    试验场

    Grok's flagship reasoning model, running an internal chain of thought before responding. Strong performance on coding and STEM tasks, with support for text, image, and file inputs. Suited for technical problem-solving and long-document analysis.

    编程推理FrontierChain of Thought
    模态
    输入 / 输出价格
    $2 / $6M tokens
    上下文
    500000
    发布时间
    2026-07-08

    价格

    规格价格
    输入$2/ M tokens
    输出$6/ M tokens
    缓存读$0.5/ M tokens
    缓存写--

    快速开始

    可直接粘贴运行下方示例代码。Gate.AI API 与 OpenAI 兼容,多数 SDK 只需替换 base URL;切换模型时,只需修改模型 ID。

    1

    Get your API key

    Sign in to the Gate.AI console and create a new key under "API Keys". Keep it safe and send it via the Authorization header on every request.

    前往控制台创建密钥
    2

    Make a request

    Send a POST request to the Chat Completions endpoint with a model ID and an array of messages to get a reply.

    POSThttps://api.gate.ai/openai/v1/chat/completions
    curl --location "https://api.gate.ai/openai/v1/chat/completions" \
      --header "Authorization: Bearer {API_KEY}" \
      --header "Content-Type: application/json" \
      --data '{
      "model": "grok-4.5",
      "messages": [
        {"role": "user", "content": "Hello"}
      ]
    }'
    3

    Handle the response \\\\\& streaming

    By default a full JSON response is returned. Add "stream": true to the request body to receive incremental chunks over SSE.

    POSThttps://api.gate.ai/openai/v1/chat/completions
    curl --no-buffer --location "https://api.gate.ai/openai/v1/chat/completions" \
      --header "Authorization: Bearer {API_KEY}" \
      --header "Content-Type: application/json" \
      --data '{
      "model": "grok-4.5",
      "messages": [
        {"role": "user", "content": "Hello"}
      ],
      "stream": true
    }'

    端点

    基础 URL、请求方法和必需请求头均按当前模型的协议模板渲染。

    POSThttps://api.gate.ai/openai/v1/chat/completions
    字段
    值
    Authorization
    认证请求头,使用 Bearer {API_KEY} 格式传递 API Key
    Content-Type
    请求内容类型,固定为 application/json
    model
    Model ID; the current model is grok-4.5
    messages
    Ordered array of conversation messages
    stream
    Whether to return the result as an SSE stream

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