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XAI: Grok Code Fast 1Code Fast. Iterate Faster

Try XAI: Grok Code Fast 1API Documentation

Accelerate Agentic Coding

Ultra-Responsive

190 Tokens Per Second

Processes tool calls rapidly with 90%+ prompt caching for fluid developer loops.

256k Context

Handles Large Codebases

Supports full-stack tasks in Python, TypeScript, Rust, Java, C++, Go.

SWE-Bench Verified

70.8% Accuracy Score

Trained on real pull requests for bug fixes, edits, and project scaffolding.

Examples

See what XAI: Grok Code Fast 1 can create

Copy any prompt below and try it yourself in the playground.

REST API Scaffold

“Generate a complete FastAPI backend for a task management app with user auth, CRUD endpoints, SQLite database, and Docker setup. Include tests and deployment YAML.”

Bug Fix Pipeline

“Analyze this Python codebase snippet with a memory leak in the data loader. Propose fixes using context manager, add logging, and refactor for async handling.”

Rust CLI Tool

“Build a command-line tool in Rust that parses JSON logs, filters by error level, aggregates stats, and outputs to CSV. Use Clap for args and Serde for serialization.”

TypeScript Debugger

“Debug this React component with state sync issues in useEffect. Rewrite hooks for optimal re-renders, add error boundaries, and integrate with Redux Toolkit.”

For Developers

A few lines of code.
Agentic code. One API call.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about XAI: Grok Code Fast 1

Read the docs

xAI: Grok Code Fast 1 API delivers a reasoning model for agentic coding at high speed. It supports tool calls like grep and file edits. Pricing starts at $0.20 per million input tokens.

It generates 190 tokens per second with 256k context. Prompt caching hits over 90% in workflows. This enables real-time iteration in IDEs.

Supports TypeScript, Python, Java, Rust, C++, Go. Handles full dev stack from apps to bug fixes. Versatile for everyday tasks.

256k token window processes large repos in context. Scores 70.8% on SWE-Bench-Verified. Human evals confirm usability.

Prioritizes speed over max benchmarks for agentic flows. Lower cost than similar models. Integrates with coding platforms.

Available via xAI endpoints or partners like Cline. Select model in settings for seamless use. Economical at $1.50 per million output.

Ready to create?

Start generating with XAI: Grok Code Fast 1 on ModelsLab.

Try XAI: Grok Code Fast 1API Documentation