Mistral AI

Mistral AI: Voxtral Small 24B

mistralai/voxtral-small-24b-2507

Access Voxtral Small 24B 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/voxtral-small-24b-2507"
}).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/voxtral-small-24b-2507"
        }).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/voxtral-small-24b-2507",
    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/voxtral-small-24b-2507",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Voxtral Small 24B is an open-source speech understanding model built on Mistral Small 3.1 under Apache 2.0. It handles transcription, translation, Q&A, and summarization directly from audio in 8+ languages with 32K token context.

Context Window 32K

tokens

Max Output N/A

tokens

Input Cost $0.1

per million tokens

Output Cost $0.3

per million tokens

Release Date Jul 8, 2025

 

Model Playground

Try Voxtral Small 24B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat mistralai/voxtral-small-24b-2507
Mistral AI
Chat with Voxtral Small 24B
Powered by Puter.js

More AI Models From Mistral AI

Find other Mistral AI models →

Chat

Mistral Small 4

Mistral Small 4 is a 119B-parameter open-source Mixture-of-Experts model (6B active per token) released under Apache 2.0, unifying instruction-following, reasoning, multimodal (text + image), and agentic coding into a single deployment. It features 128 experts, a 256k context window, and configurable reasoning effort that lets developers toggle between fast responses and deep step-by-step reasoning per request. Compared to its predecessor Mistral Small 3, it delivers 40% lower latency and 3x higher throughput while matching or surpassing GPT-OSS 120B on key benchmarks.

 Chat

Mistral Small Creative

Mistral Small Creative is a specialized Labs model variant optimized for creative content generation. It builds on the Mistral Small architecture with adjustments for more imaginative and varied outputs in writing tasks.

 Chat

Ministral 14B

Ministral 14B is part of the Ministral 3 family, a 14B parameter multimodal model with vision capabilities under Apache 2.0. It offers advanced capabilities for local deployment with instruct, base, and reasoning variants achieving 85% on AIME'25.

Frequently Asked Questions

How do I use Voxtral Small 24B?

You can access Voxtral Small 24B 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 Voxtral Small 24B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Voxtral Small 24B 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 Voxtral Small 24B?
Pricing for Voxtral Small 24B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.1
Output$0.3
Who created Voxtral Small 24B?

Voxtral Small 24B was created by Mistral AI and released on Jul 8, 2025.

What is the context window of Voxtral Small 24B?

Voxtral Small 24B supports a context window of 32K tokens. For reference, that is roughly equivalent to 64 pages of text.

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

Yes — the Voxtral Small 24B 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 Voxtral Small 24B to your app without worrying about API keys or setup.

Read the Docs View Tutorials