Mistral AI: Mistral Large

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Mistral Large is Mistral's flagship large model for high-complexity enterprise tasks with strong reasoning, knowledge, and coding capabilities. It supports function calling and excels in RAG and agentic workflows across multiple languages.

Context Window 128K

tokens

Max Output N/A

tokens

Input Cost $2

per million tokens

Output Cost $6

per million tokens

Release Date Feb 26, 2024

 

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 Large?

You can access Mistral Large 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 Large free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Mistral Large 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 Large?
Mistral Large costs $2 per 1M input tokens and $6 per 1M output tokens.
Price per 1M tokens
Input$2
Output$6
Who created Mistral Large?

Mistral Large was created by Mistral AI and released on Feb 26, 2024.

What is the context window of Mistral Large?

Mistral Large supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.

How does Mistral Large perform on benchmarks?

Mistral Large scores 9.9 on the Artificial Analysis Intelligence Index, outperforming 14% of tracked models.

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

Yes — the Mistral Large 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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