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grok-4.7

Grok 4.7 API

Name: Grok 4.7 API
Brand: CometAPI
SKU: grok-4.7
Price: 75 USD
Availability: InStock

coming soon

起始價格

$60.00 / 100 萬輸入 tokens

按使用量計費

API 健康狀態

可使用

正式環境端點

回應時間

支援非同步

實測 API 回應時間

發布時間

Aug 18, 2026

xAI

Playground

透過實際請求試用 Grok 4.7,檢視參數並在整合 API 前驗證輸出結果。

定價

先參考上方的單次執行預估,再查看完整的 CometAPI 與官方價格比較。

第一次請求

—

預估 CometAPI 使用費用

十次請求

—

預估 CometAPI 使用費用

十五次請求

—

預估 CometAPI 使用費用

Grok 4.7 的定價

探索 Grok 4.7 的競爭性定價，專為滿足各種預算和使用需求而設計。我們靈活的方案確保您只需為實際使用量付費，讓您能夠隨著需求增長輕鬆擴展。了解 Grok 4.7 如何在保持成本可控的同時提升您的專案效果。

Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
輸入:$60/M 輸出:$60/M	輸入:$75/M 輸出:$75/M	-20%

API

複製可用的端點與程式碼範例,需要完整參數時再開啟完整 API 參考文件。

一個 API,直接對接正式環境模型

只需驗證一次,即可呼叫模型端點,並在各供應商間維持一致的計費與監控流程。

POST/v1/chat/completionsPOST/v1/responses

Grok 4.7 的範例程式碼和 API

存取完整的範例程式碼和 API 資源，以簡化您的 Grok 4.7 整合流程。我們詳盡的文件提供逐步指引，協助您在專案中充分發揮 Grok 4.7 的潛力。

POST

/v1/chat/completions

POST

/v1/responses

#!/usr/bin/env bash
# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

response=$(curl --silent --location --request POST "https://api.cometapi.com/v1/responses" \
  --header "Authorization: Bearer $COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --header "Accept: application/json" \
  --data-raw '{
    "model": "grok-4.7",
    "input": [
      {
        "role": "user",
        "content": "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}"
      }
    ]
  }')

if command -v jq >/dev/null 2>&1; then
  printf '%s
' "$response" | jq -r '(
    [
      .output[]?
      | select(.type == "message")
      | .content[]?
      | select(.type == "output_text")
      | .text
    ][0]
  ) // .output_text // .'
else
  printf '%s
' "$response"
fi

cURL Code Example

#!/usr/bin/env bash
# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

response=$(curl --silent --location --request POST "https://api.cometapi.com/v1/responses" \
  --header "Authorization: Bearer $COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --header "Accept: application/json" \
  --data-raw '{
    "model": "grok-4.7",
    "input": [
      {
        "role": "user",
        "content": "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}"
      }
    ]
  }')

if command -v jq >/dev/null 2>&1; then
  printf '%s\n' "$response" | jq -r '(
    [
      .output[]?
      | select(.type == "message")
      | .content[]?
      | select(.type == "output_text")
      | .text
    ][0]
  ) // .output_text // .'
else
  printf '%s\n' "$response"
fi

Python Code Example

import os

from openai import OpenAI

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)
response = client.responses.create(
    model="grok-4.7",
    input=[
        {
            "role": "user",
            "content": "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}",
        }
    ],
)

print(response.output_text or response.model_dump_json(indent=2))

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
const apiKey = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const baseUrl = "https://api.cometapi.com/v1";

const client = new OpenAI({
  apiKey,
  baseURL: baseUrl,
});

const response = await client.responses.create({
  model: "grok-4.7",
  input: [
    {
      role: "user",
      content: "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}",
    },
  ],
});

console.log(response.output_text ?? JSON.stringify(response.output, null, 2));

功能

在選擇架構或評估正式環境負載前,先掌握模型的關鍵資訊。

支援的功能

現有模型 API 回傳的功能。

image-to-text

text-to-text

pdf-to-text

image-to-text

輸入與輸出

輸入

text

輸出

text

正式環境資訊

供應商: xAI
上下文: 依模型而定
商業使用: 支援

應用場景

將 Grok 4.7 用於符合其 text 能力的正式工作流程,並在長期整合前比較其他選項。

正式環境聊天與 Agent 工作流程

程式撰寫、分析與結構化生成

透過單一 API 進行大量自動化

其他模型

比較 CometAPI 提供的其他模型,在品質、延遲、功能與價格間取得平衡。

開啟模型比較 →

Google

Gemini 3.7 Flash

3.7 Flash delivers substantial improvements across software engineering, knowledge work, and web development workflows — with an introductory price of half the original 3.6 Flash cost per million tokens.

查看模型

DeepSeek

DeepSeek-V4-Flash-Vision

The deepseek-v4-flash-vision-exp model accepts images alongside text, so you can ask the model to describe pictures, read text from screenshots, analyze charts, and more.Supported image formats: JPEG, PNG, GIF, and WebP. The format is detected from the actual file content, not from the file name or the declared MIME type.

查看模型

DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks.

查看模型

xAI

Grok 4.6

The flagship model for code and everything else: agentic tool calling, minimal hallucinations, configurable reasoning.

查看模型

Zhipu AI

GLM 5.3

GLM-5.3 is a next-generation open-source large language model optimized for complex coding, long-horizon tasks, and cybersecurity scenarios. It delivers significantly improved coding capabilities and agent performance compared with GLM-5.2.

查看模型

Anthropic

Claude Fable 5

Access to Claude Fable 5 has been restored. It brings 5th-generation intelligence to your most ambitious coding and professional work.

查看模型

Uptime

在正式上線前,查看即時心跳資料、端點可用性與實測回應時間。

持續探索

比較模型,繼續你的研究

Grok 4.7 的定價

Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
輸入:$60/M 輸出:$60/M	輸入:$75/M 輸出:$75/M	-20%

Grok 4.7 的範例程式碼和 API

存取完整的範例程式碼和 API 資源，以簡化您的 Grok 4.7 整合流程。我們詳盡的文件提供逐步指引，協助您在專案中充分發揮 Grok 4.7 的潛力。

#!/usr/bin/env bash
# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

response=$(curl --silent --location --request POST "https://api.cometapi.com/v1/responses" \
  --header "Authorization: Bearer $COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --header "Accept: application/json" \
  --data-raw '{
    "model": "grok-4.7",
    "input": [
      {
        "role": "user",
        "content": "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}"
      }
    ]
  }')

if command -v jq >/dev/null 2>&1; then
  printf '%s
' "$response" | jq -r '(
    [
      .output[]?
      | select(.type == "message")
      | .content[]?
      | select(.type == "output_text")
      | .text
    ][0]
  ) // .output_text // .'
else
  printf '%s
' "$response"
fi

cURL Code Example

#!/usr/bin/env bash
# Get your CometAPI key from https://www.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

response=$(curl --silent --location --request POST "https://api.cometapi.com/v1/responses" \
  --header "Authorization: Bearer $COMETAPI_KEY" \
  --header "Content-Type: application/json" \
  --header "Accept: application/json" \
  --data-raw '{
    "model": "grok-4.7",
    "input": [
      {
        "role": "user",
        "content": "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}"
      }
    ]
  }')

if command -v jq >/dev/null 2>&1; then
  printf '%s\n' "$response" | jq -r '(
    [
      .output[]?
      | select(.type == "message")
      | .content[]?
      | select(.type == "output_text")
      | .text
    ][0]
  ) // .output_text // .'
else
  printf '%s\n' "$response"
fi

Python Code Example

import os

from openai import OpenAI

# Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)
response = client.responses.create(
    model="grok-4.7",
    input=[
        {
            "role": "user",
            "content": "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}",
        }
    ],
)

print(response.output_text or response.model_dump_json(indent=2))

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://www.cometapi.com/console/token, and paste it here
const apiKey = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const baseUrl = "https://api.cometapi.com/v1";

const client = new OpenAI({
  apiKey,
  baseURL: baseUrl,
});

const response = await client.responses.create({
  model: "grok-4.7",
  input: [
    {
      role: "user",
      content: "Find and fix the bug, then explain it: function median(a){a.sort();return a[a.length/2]}",
    },
  ],
});

console.log(response.output_text ?? JSON.stringify(response.output, null, 2));