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Available now on ModelsLab · Language Model

Mistral: Codestral 2508Code generation. Production-ready.

Try Mistral: Codestral 2508API Documentation

Speed, Context, Precision

Lightning-Fast

2.5x Faster Code Completion

Fill-in-the-middle and multi-line editing optimized for low-latency production environments.

Massive Context

256K Token Window

Process entire codebases and monorepos in a single request without truncation.

Language Support

80+ Programming Languages

Code correction, test generation, and completion across all major frameworks and ecosystems.

Examples

See what Mistral: Codestral 2508 can create

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

REST API Handler

“Write a production-grade Express.js middleware that validates JWT tokens, handles CORS, and logs requests with timestamps to a file.”

Database Query

“Generate a PostgreSQL query that joins users, orders, and products tables, filters by date range, and returns aggregated sales data.”

Unit Test Suite

“Create comprehensive Jest test cases for a React component that manages form state, validates inputs, and submits data to an API.”

Error Handler

“Build a Python decorator that catches exceptions, logs stack traces, retries failed operations with exponential backoff, and sends alerts.”

For Developers

A few lines of code.
Code faster. Ship better.

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 Mistral: Codestral 2508

Read the docs

Codestral 2508 is Mistral's code generation model optimized for fill-in-the-middle completion and production engineering. It supports 80+ languages with 2.5x faster performance than its predecessor and a 256K token context window.

Pricing is $0.30 per million input tokens and $0.90 per million output tokens. Costs scale with usage, making it efficient for high-volume code generation workloads.

The model supports a 256K token context window, equivalent to roughly 512 pages of text. This allows processing entire monorepos and large code files in a single request.

Key capabilities include function calling, structured outputs, fill-in-the-middle completion, code correction, test generation, and semantic code search. The model also supports configurable reasoning effort for balancing speed and depth.

Codestral 2508 was released on August 1, 2025. It has a knowledge cutoff of March 31, 2025, and includes improvements of +5% in instruction following and code abilities over prior versions.

Yes. Codestral 2508 is specifically optimized for production engineering environments with low-latency performance, context awareness, and self-deployment options. It's designed for latency-sensitive, high-frequency tasks.

Ready to create?

Start generating with Mistral: Codestral 2508 on ModelsLab.

Try Mistral: Codestral 2508API Documentation