Mistral AI: Devstral Medium

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Devstral Medium is a high-performance agentic coding model for complex software engineering tasks, achieving 61.6% on SWE-Bench Verified. It's designed for generalization across prompt styles and tool use in code agents and frameworks.

Context Window 131K

tokens

Max Output N/A

tokens

Input Cost $0.4

per million tokens

Output Cost $2

per million tokens

Release Date Jul 10, 2025

 

Output Speed 34

tokens / sec

Latency 0.52s

time to first token

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Frequently Asked Questions

How do I use Devstral Medium?

You can access Devstral Medium by Mistral AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Devstral Medium free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Devstral Medium to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Devstral Medium?
Devstral Medium costs $0.4 per 1M input tokens and $2 per 1M output tokens.
Price per 1M tokens
Input$0.4
Output$2
Who created Devstral Medium?

Devstral Medium was created by Mistral AI and released on Jul 10, 2025.

What is the context window of Devstral Medium?

Devstral Medium supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

How does Devstral Medium perform on benchmarks?

Devstral Medium scores 18.7 on the Artificial Analysis Intelligence Index, outperforming 47% of tracked models. On coding, it scores 15.9 (outperforms 41% of models). On math, it scores 4.7 (outperforms 7% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Devstral Medium API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

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