Mistral AI: Pixtral Large

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Pixtral Large is a 124B parameter open-weights multimodal model built on Mistral Large 2, achieving frontier-level image understanding. It processes up to 30 high-resolution images per input with 128K context, excelling in document and chart analysis.

Context Window 131K

tokens

Max Output 131K

tokens

Input Cost $2

per million tokens

Output Cost $6

per million tokens

Input text, image

modalities

Tool Use Yes

 

Knowledge Cutoff Nov 2024

 

Release Date Nov 19, 2024

 

Output Speed 60

tokens / sec

Latency 0.74s

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 Pixtral Large?

You can access Pixtral 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 Pixtral Large free?

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

Pixtral Large was created by Mistral AI and released on Nov 19, 2024.

What is the context window of Pixtral Large?

Pixtral Large 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 Pixtral Large?

Pixtral Large can generate up to 131K tokens in a single response.

What is the knowledge cutoff of Pixtral Large?

Pixtral Large has a knowledge cutoff date of Nov 2024. This means the model was trained on data available up to that date.

What types of input can Pixtral Large process?

Pixtral Large accepts the following input types: text, image. It produces: text.

Does Pixtral Large support tool use (function calling)?

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

How does Pixtral Large perform on benchmarks?

Pixtral Large scores 14.0 on the Artificial Analysis Intelligence Index, outperforming 30% of tracked models. On math, it scores 2.3 (outperforms 3% of models).

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

Yes — the Pixtral 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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