Mistral Large
Reasoning. Code. Multilingual.
Deploy Enterprise-Grade Reasoning
Extended Context
128K Token Window
Process large documents and maintain context across extended conversations without information loss.
Native Capabilities
Function Calling & JSON
Build agentic workflows with structured outputs and precise instruction-following for production systems.
Multilingual Fluency
80+ Languages Supported
Deliver reasoning and code generation across English, French, Spanish, German, Italian, Arabic, and beyond.
Examples
See what Mistral Large can create
Copy any prompt below and try it yourself in the playground.
Technical Documentation
“Analyze this API documentation and generate a comprehensive integration guide with code examples for a REST endpoint that handles user authentication and token refresh.”
Code Refactoring
“Review this Python function for performance bottlenecks and refactor it using modern patterns. Explain the improvements and provide before/after benchmarks.”
Multilingual Support
“Translate this customer support response into French, German, and Spanish while maintaining tone and technical accuracy for a SaaS platform.”
Data Analysis
“Summarize this quarterly financial report, extract key metrics, identify trends, and provide actionable insights for stakeholders.”
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())