Grok 4.5

    xai/grok-4.5
    試驗場

    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.

    程式推理FrontierChain of Thought
    模態
    輸入 / 輸出價格
    $2 / $6M tokens
    上下文
    500000
    發布時間
    2026-07-08

    價格

    規格價格
    輸入$2/ M tokens
    輸出$6/ M tokens
    快取讀$0.5/ M tokens
    快取寫--

    快速開始

    可直接貼上執行下方範例程式碼。Gate.AI API 與 OpenAI 相容,多數 SDK 只需替換 base URL;切換模型時,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.

    前往控制台建立金鑰
    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
    }'

    端點

    基礎 URL、請求方法與必要請求頭,皆依當前模型的協議模板渲染。

    POSThttps://api.gate.ai/openai/v1/chat/completions
    欄位
    值
    Authorization
    驗證請求頭,使用 Bearer {API_KEY} 格式傳遞 API Key
    Content-Type
    請求內容型別,固定為 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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