Mistral AI

Mistral AI: Mistral Large

mistralai/mistral-large

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

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

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

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="mistralai/mistral-large",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "mistralai/mistral-large",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

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

 

Model Playground

Try Mistral Large instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat mistralai/mistral-large
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Benchmarks

How Mistral Large performs on standard evaluations.

Artificial Analysis
Intelligence Index
9.9
Better than 15% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
35.1%
Humanity's Last Exam Cross-domain reasoning
3.4%
LiveCodeBench Recent coding problems
17.8%
SciCode Scientific programming
20.8%
MATH-500 Competition math
52.7%
AIME 2024 Advanced math exam
0.0%

Scores sourced from Artificial Analysis.

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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?
Pricing for Mistral Large is based on the number of input and output tokens used per request.
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.

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.

Get started with Puter.js

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

Read the Docs View Tutorials