Mistral AI: Mistral Small 3.2 (24B Instruct 2506)
mistralai/mistral-small-24b-instruct-2506
Access Mistral Small 3.2 (24B Instruct 2506) 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-small-24b-instruct-2506"
}).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-small-24b-instruct-2506"
}).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-small-24b-instruct-2506",
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-small-24b-instruct-2506",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Mistral Small 3.2 (24B Instruct 2506) is a 24-billion-parameter multimodal model from Mistral AI, accepting both text and image input and released under the Apache 2.0 license in June 2025.
It is an instruction-following update to Mistral Small 3.1, with the same architecture. Mistral AI reports internal instruction-following accuracy rising from 82.75% to 84.78%, infinite/repetitive generations dropping from 2.11% to 1.29%, and gains on WildBench v2 (55.6% to 65.33%) and Arena Hard v2 (19.56% to 43.1%). It also improves on coding benchmarks (HumanEval Plus 88.99% to 92.90%) and supports function/tool calling with an updated template.
With a 128,000-token context window and open licensing, it suits developers needing document QA, chart/image understanding, structured output, and tool-calling agents.
Context Window 128K
tokens
Max Output 128K
tokens
Input Cost $0.08
per million tokens
Output Cost $0.2
per million tokens
Input text, image
modalities
Tool Use Yes
Release Date Jun 20, 2025
Model Playground
Try Mistral Small 3.2 (24B Instruct 2506) 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 Mistral Small 3.2 (24B Instruct 2506) 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 Mistral Small 3.2 (24B Instruct 2506) 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 | $0.08 |
| Output | $0.2 |
Mistral Small 3.2 (24B Instruct 2506) was created by Mistral AI and released on Jun 20, 2025.
Mistral Small 3.2 (24B Instruct 2506) supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
Mistral Small 3.2 (24B Instruct 2506) can generate up to 128K tokens in a single response.
Mistral Small 3.2 (24B Instruct 2506) accepts the following input types: text, image. It produces: text.
Yes, Mistral Small 3.2 (24B Instruct 2506) supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Mistral Small 3.2 (24B Instruct 2506) 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 Small 3.2 (24B Instruct 2506) to your app without worrying about API keys or setup.
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