Mistral AI: Devstral Small 1.1

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Devstral Small is a 24B parameter agentic coding model built with All Hands AI, achieving 46.8% on SWE-Bench Verified. Released under Apache 2.0, it can run locally on a single RTX 4090 or 32GB RAM Mac for autonomous software development.

Context Window 131K

tokens

Max Output 131K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.3

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff May 2025

 

Release Date Jul 10, 2025

 

Output Speed 36

tokens / sec

Latency 0.51s

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 Small 1.1?

You can access Devstral Small 1.1 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 Small 1.1 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Devstral Small 1.1 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 Small 1.1?
Devstral Small 1.1 costs $0.1 per 1M input tokens and $0.3 per 1M output tokens.
Price per 1M tokens
Input$0.1
Output$0.3
Who created Devstral Small 1.1?

Devstral Small 1.1 was created by Mistral AI and released on Jul 10, 2025.

What is the context window of Devstral Small 1.1?

Devstral Small 1.1 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Devstral Small 1.1?

Devstral Small 1.1 can generate up to 131K tokens in a single response.

What is the knowledge cutoff of Devstral Small 1.1?

Devstral Small 1.1 has a knowledge cutoff date of May 2025. This means the model was trained on data available up to that date.

What types of input can Devstral Small 1.1 process?

Devstral Small 1.1 accepts the following input types: text. It produces: text.

Does Devstral Small 1.1 support tool use (function calling)?

Yes, Devstral Small 1.1 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Devstral Small 1.1 perform on benchmarks?

Devstral Small 1.1 scores 15.2 on the Artificial Analysis Intelligence Index, outperforming 36% of tracked models. On coding, it scores 12.1 (outperforms 28% of models). On math, it scores 29.3 (outperforms 30% of models).

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

Yes — the Devstral Small 1.1 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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