---
title: Codestral 2508 — Fast Code Generation | ModelsLab
description: Generate code 2.5x faster with Mistral's Codestral 2508. 256K context, 80+ languages, $0.30/M input tokens. Try it now.
url: https://modelslab.com/mistral-codestral-2508
canonical: https://modelslab.com/mistral-codestral-2508
type: website
component: Seo/ModelPage
generated_at: 2026-05-05T20:10:01.626188Z
---

Available now on ModelsLab · Language Model

Mistral: Codestral 2508
Code generation. Production-ready.
---

[Try Mistral: Codestral 2508](/models/open_router/mistralai-codestral-2508) [API Documentation](https://docs.modelslab.com)

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](/models/open_router/mistralai-codestral-2508).

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 ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

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

FAQ

Common questions about Mistral: Codestral 2508
---

[Read the docs ](https://docs.modelslab.com)

### What is Mistral Codestral 2508?

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.

### How much does the Mistral Codestral 2508 API cost?

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.

### What is the context window for Codestral 2508?

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.

### What are the key capabilities of Codestral 2508?

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.

### When was Codestral 2508 released?

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.

### Can I use Codestral 2508 for production applications?

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 2508](/models/open_router/mistralai-codestral-2508) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-05-06*