Is Devstral 2 free to use?

Yes, Devstral Small 2 is fully free for commercial use under the Apache 2.0 license. The larger Devstral 2 model is free for research and small businesses, but companies with over $20M in monthly revenue must pay a license fee.

Can I run Devstral 2 locally?

You can run the "Small" 24B version on high-end consumer laptops. However, the full 123B Devstral 2 model is too large for standard computers and typically requires a cluster of four H100 GPUs to run effectively.

What is Mistral Vibe?

Mistral Vibe is a native Command Line Interface (CLI) tool that acts as an "agentic" coding assistant. It lives in your terminal, scanning your project files and Git status to perform edits and refactoring directly across your codebase.

How does Devstral 2 compare to proprietary models?

On the SWE-bench Verified benchmark, Devstral 2 scored 72.2%, putting it within striking distance of top proprietary models like GPT-4 and Claude, while offering a significantly more cost-effective and private solution.

What is the context window of Devstral 2?

Devstral 2 features a massive 256k token context window, making it capable of ingesting and reasoning over entire codebases in a single prompt.

Devstral 2

new state-of-the-art open model for code agents.

From Mistral AI

Founder: Arthur Mensch

Code & Development

9 Dec 2025

6.2 Million+

Free

Pricing Model

Free

Starting Price

$0/Month

About This AI

Devstral 2 is a high-performance “dense” large language model designed specifically for enterprise-grade software engineering.

It features a massive 123-billion parameter architecture and a 256k token context window, allowing it to ingest and reason over entire codebases.

It works alongside the new “Mistral Vibe” CLI, an agentic tool that lives in the terminal to perform project-aware edits across multiple files.

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Pricing

Pricing Model

Free

Starting Price

$0/Month

Key Features

123B parameter model that uses full power for every token (no MoE switching).
A 24B parameter variant optimized for local use on consumer hardware (RTX 3090/4090).
Native terminal tool for "agentic" coding with full project-aware context.
256k token window to handle large repositories and complex dependencies.
Scores 72.2% (Large) and 68.0% (Small), rivaling proprietary giants.
Released under Modified MIT (Large) and Apache 2.0 (Small) licenses.

Pros

Exceptional coding performance (72.2% SWE-bench).
"Small" model runs locally on high-end laptops.
Fully open-source option (Apache 2.0) available.
Native CLI integration for seamless workflows.
Cost-efficient compared to GPT-4/Claude.

Cons

High hardware requirements for the 123B model (4x H100 GPUs).
CLI-first approach may be difficult for non-technical users.
"Large" model license restricts massive cloud providers.

Best for Enterprise software engineers needing secure, self-hosted coding agents, and individual developers who want a powerful, private coding assistant running locally on their own hardware.

FAQs

Is Devstral 2 free to use?
Yes, Devstral Small 2 is fully free for commercial use under the Apache 2.0 license. The larger Devstral 2 model is free for research and small businesses, but companies with over $20M in monthly revenue must pay a license fee.
Can I run Devstral 2 locally?
You can run the “Small” 24B version on high-end consumer laptops. However, the full 123B Devstral 2 model is too large for standard computers and typically requires a cluster of four H100 GPUs to run effectively.
What is Mistral Vibe?
Mistral Vibe is a native Command Line Interface (CLI) tool that acts as an “agentic” coding assistant. It lives in your terminal, scanning your project files and Git status to perform edits and refactoring directly across your codebase.
How does Devstral 2 compare to proprietary models?
On the SWE-bench Verified benchmark, Devstral 2 scored 72.2%, putting it within striking distance of top proprietary models like GPT-4 and Claude, while offering a significantly more cost-effective and private solution.
What is the context window of Devstral 2?
Devstral 2 features a massive 256k token context window, making it capable of ingesting and reasoning over entire codebases in a single prompt.