Grok 4.7 is xAI's text model for coding, agentic tasks, and knowledge work. Use HiAPI Chat Completions for streaming, JSON objects, tools, and four reasoning efforts.

Provider: Grok

Category: text generation

Endpoint: /v1/chat/completions

Status: Available

Cost: --

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grok-4.7

Grok 4.7 is xAI's text model for coding, agentic tasks, and knowledge work. Use HiAPI Chat Completions for streaming, JSON objects, tools, and four reasoning efforts.

Use in your agent

API access

Endpoint

POST /v1/chat/completions

Base URL

https://api.hiapi.ai

OpenAI Chat Completions compatible. Use one HiAPI key across all available models.

Input price

1,680 Credits

/ 1M tokens · Total input ≤ 199,999 tokens

Output price

5,040 Credits

/ 1M tokens · Total input ≤ 199,999 tokens

Context

500K

context window

Max output

64K

output tokens

Try grok-4.7

Ask a question to stream the answer and inspect token usage, latency, and estimated cost.

grok-4.7 API Quickstart

Call grok-4.7 with the OpenAI-compatible Chat Completions format. Copy a ready-to-use cURL, Python, or Node.js example below.

Code Example
API Endpoint:/v1/chat/completions
curl -X POST "https://api.hiapi.ai/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "grok-4.7",
  "messages": [
    {
      "role": "user",
      "content": "请分析这段代码的潜在问题,并给出可验证的修复方案。"
    }
  ],
  "stream": false,
  "reasoning_effort": "high"
}'

Tip: Replace YOUR_API_KEY with your actual API key from the API Keys page.

Compatible with the OpenAI Chat Completions format. Set the base URL, API key, and model name to get started.

grok-4.7 full API documentationManage API keysUse the same HiAPI key across all available models.

grok-4.7 API Pricing

Billing follows the input, output, and cache token categories actually reported in usage. All prices below are shown per 1 million tokens.

Total input ≤ 199,999 tokens

Input tokens
1,680 Credits/ 1M tokens

Prompts and context sent to the model

Output tokens
5,040 Credits/ 1M tokens

Responses and reasoning generated by the model

Cache read
420 Credits/ 1M tokens
Long-context pricing and billing details

The tier is selected by total input tokens per request, including cache reads and writes. Above the threshold, that tier applies to all input, output, and cache tokens in the request, not only the excess.

Token typeTotal input ≤ 199,999 tokensTotal input > 199,999 tokens
Input1,680 Credits3,360 Credits
Output5,040 Credits10,080 Credits
Cache read420 Credits840 Credits

All prices are per 1 million tokens.

grok-4.7 Model Specifications

These specifications reflect the current public HiAPI text request contract. Undisclosed capabilities are not inferred by the page.

Streaming
Supported
Tool calling
Supported
Structured JSON
Supported
Reasoning
Supported
Input modalities
text
Output modalities
text
Reasoning efforts
low · medium · high · xhigh
Max output
64K

About grok-4.7

Grok 4.7 is xAI's text model for coding, agentic tasks, and knowledge work. Use HiAPI Chat Completions for streaming, JSON objects, tools, and four reasoning efforts.

HiAPI exposes this model through /v1/chat/completions. Test prompts and parameters in the Playground, then use the same HiAPI API key in your server application.

Provider
Grok
Endpoint
/v1/chat/completions
Context window
500K
Released
2026-09-21

How to Use grok-4.7

The Playground and API share the same model ID, so three steps take a prompt into production.

  1. Step 1

    Validate online

    Test the system prompt, output length, and model-supported reasoning options in the Playground.

  2. Step 2

    Manage API keys

    View an existing key or create another after signing in; one key works across all available models.

  3. Step 3

    Integrate your server

    Send requests to /v1/chat/completions and track cost with the usage object.

Need to compare models and billing tiers?View live pricing for all models

Frequently asked questions

What is Grok 4.7?

Grok 4.7 is xAI's text model for coding, agentic tasks, and knowledge work, available through HiAPI Chat Completions.

Which endpoint and model ID should I use?

Use POST /v1/chat/completions with model=grok-4.7.

Which reasoning efforts are supported?

Use reasoning_effort=low, medium, high, or xhigh. The default is high, and reasoning tokens count as output tokens.

Which capabilities are supported?

The HiAPI surface includes streaming, JSON objects, and function tools. Invalid reasoning_effort values return HTTP 400 before upstream dispatch.

Are image input and Responses available?

They are not part of the initial HiAPI public contract; use text messages with Chat Completions.

How are tokens billed?

Input, output, and cached input use live rates on the model and pricing pages; reasoning counts as output.