Mistral Large 3 API

Access Mistral Large 3 from Mistral AI using Puter.js AI API.

Get Started

Model Card

Mistral Large 3 is a 675B parameter sparse MoE model (41B active) trained on 3000 H200 GPUs, representing Mistral's frontier open-weight multimodal model. It supports 256K context, native vision, and excels in agentic workflows and enterprise applications.

Context Window N/A

tokens

Max Output 262K

tokens

Input Cost $0.5

per million tokens

Output Cost $1.5

per million tokens

Input text, image

modalities

Tool Use Yes

 

Knowledge Cutoff Nov 2024

 

Release Date Nov 1, 2024

 

API Usage Example

Add Mistral Large 3 to your app with just a few lines of code.
No API keys, no backend, no configuration required.

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

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "mistralai/mistral-large-2512"
}).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", {
            model: "mistralai/mistral-large-2512"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

View full documentation →

More Models from Mistral AI

Chat

Mistral Small Creative

Mistral Small Creative is a specialized Labs model variant optimized for creative content generation...

 Chat

Ministral 14B

Ministral 14B is part of the Ministral 3 family, a 14B parameter multimodal model with vision capabi...

 Chat

Devstral 2

Devstral 2 is a 123B parameter dense transformer coding model achieving 72.2% on SWE-bench Verified ...

View all Mistral AI models →

Frequently Asked Questions

What is this Mistral Large 3 API about?

The Mistral Large 3 API gives you access to Mistral AI's chat model through Puter.js. With just a few lines of JavaScript, you can integrate Mistral Large 3 into any web app or Node.js project — no API keys, no backend, and no configuration required.

Who created Mistral Large 3?

Mistral Large 3 was created by Mistral AI and released on Nov 1, 2024.

What is the max output length of Mistral Large 3?

Mistral Large 3 can generate up to 262K tokens in a single response.

What is the knowledge cutoff of Mistral Large 3?

Mistral Large 3 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 Mistral Large 3 process?

Mistral Large 3 accepts the following input types: text, image. It produces: text.

Does Mistral Large 3 support tool use (function calling)?

Yes, Mistral Large 3 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How much does it cost?
The Mistral Large 3 API is available through the User-Pays Model. As a developer, you can add the Mistral Large 3 API to your app for free — your users pay for their own AI costs directly.
Price per 1M tokens
Input$0.5
Output$1.5
How do I access the Mistral Large 3 API?

You can access the Mistral Large 3 API with just a few lines of JavaScript — no API keys, no backend, and no configuration required. Include the Puter.js library in your project and start making calls right away. For more details, check out our documentation.

Does the Mistral Large 3 API work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Mistral Large 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.

Get started with Puter.js

Add Mistral Large 3 to your app without worrying about API keys or setup.

Read the Docs View Tutorials