XAI: Grok 4
Reasoning. At scale. Now.
Frontier Intelligence. Built Different.
Massive Context
256K Token Window
Process entire codebases and 500-page documents in a single prompt without chunking.
Real-Time Data
Live Search Integration
Access current information across X, web, and news sources for accurate, up-to-date responses.
Multi-Agent Power
Grok 4 Heavy Mode
Four AI agents collaborate in parallel, debating and verifying solutions for superior accuracy.
Examples
See what XAI: Grok 4 can create
Copy any prompt below and try it yourself in the playground.
Code Architecture Review
“Review this Python microservices architecture for scalability bottlenecks. Analyze the database schema, API endpoints, and suggest optimization patterns for handling 100K concurrent users.”
Market Research Synthesis
“Search for the latest AI model benchmarks from 2026. Compare performance metrics across reasoning, coding, and multimodal tasks. Identify emerging trends in frontier model development.”
Technical Documentation
“Generate comprehensive API documentation for a real-time data processing system. Include endpoint specifications, authentication flows, rate limiting, and error handling examples.”
Data Analysis
“Upload a quarterly revenue chart and analyze trends. Identify growth patterns, anomalies, and provide strategic recommendations based on the data visualization.”
For Developers
A few lines of code.
Reasoning. Three lines.
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
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())