Mistral AI: Voxtral Small
mistralai/voxtral-small-2507
Access Voxtral Small 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-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-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-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-2507",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Voxtral Small is a 24B parameter speech understanding model built on Mistral Small 3.1 under Apache 2.0. It supports 30-minute transcription, 40-minute audio understanding, Q&A, summarization, and function calling from voice in 8+ languages.
Context Window 33K
tokens
Max Output 33K
tokens
Input Cost $0.1
per million tokens
Output Cost $0.3
per million tokens
Input text, audio
modalities
Tool Use Yes
Knowledge Cutoff Jul 2025
Release Date Jul 15, 2025
Model Playground
Try Voxtral Small instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access Voxtral Small 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Voxtral Small to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.1 |
| Output | $0.3 |
Voxtral Small was created by Mistral AI and released on Jul 15, 2025.
Voxtral Small supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.
Voxtral Small can generate up to 33K tokens in a single response.
Voxtral Small has a knowledge cutoff date of Jul 2025. This means the model was trained on data available up to that date.
Voxtral Small accepts the following input types: text, audio. It produces: text.
Yes, Voxtral Small supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Voxtral Small 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 to your app without worrying about API keys or setup.
Read the Docs View Tutorials