Mistral AI: Mistral Small 3

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Mistral Small 3 is a 24B parameter latency-optimized model achieving ~81% MMLU accuracy at 150 tokens/second. It's designed for fast-response conversational agents and low-latency function calling under Apache 2.0.

Context Window 33K

tokens

Max Output 16K

tokens

Input Cost $0.05

per million tokens

Output Cost $0.08

per million tokens

Release Date Jan 30, 2025

 

Output Speed 154

tokens / sec

Latency 0.50s

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 Mistral Small 3?

You can access Mistral Small 3 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 Mistral Small 3 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Mistral Small 3 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 Mistral Small 3?
Mistral Small 3 costs $0.05 per 1M input tokens and $0.08 per 1M output tokens.
Price per 1M tokens
Input$0.05
Output$0.08
Who created Mistral Small 3?

Mistral Small 3 was created by Mistral AI and released on Jan 30, 2025.

What is the context window of Mistral Small 3?

Mistral Small 3 supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.

What is the max output length of Mistral Small 3?

Mistral Small 3 can generate up to 16K tokens in a single response.

How does Mistral Small 3 perform on benchmarks?

Mistral Small 3 scores 12.7 on the Artificial Analysis Intelligence Index, outperforming 24% of tracked models. On math, it scores 4.3 (outperforms 7% of models).

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

Yes — the Mistral Small 3 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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