Mistral AI: Magistral Small 1.2
mistralai/magistral-small-2509
Access Magistral Small 1.2 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/magistral-small-2509"
}).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/magistral-small-2509"
}).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/magistral-small-2509",
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/magistral-small-2509",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Magistral Small is a 24B parameter open-source reasoning model under Apache 2.0, achieving 70.7% on AIME2024. It provides traceable, multilingual chain-of-thought reasoning in English, French, Spanish, German, Italian, Arabic, Russian, and Chinese.
Context Window 131K
tokens
Max Output 131K
tokens
Input Cost $0.5
per million tokens
Output Cost $1.5
per million tokens
Input text
modalities
Tool Use Yes
Knowledge Cutoff Jun 2025
Release Date Mar 17, 2025
Output Speed 178
tokens / sec
Latency 0.36s
time to first token
Model Playground
Try Magistral Small 1.2 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Magistral Small 1.2 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 66.3% |
| Humanity's Last Exam Cross-domain reasoning | 6.1% |
| LiveCodeBench Recent coding problems | 72.3% |
| SciCode Scientific programming | 35.2% |
| AIME 2025 Advanced math exam | 80.3% |
| IFBench Instruction following | 44.4% |
| LCR Long-context reasoning | 16.3% |
| Terminal-Bench Hard Agentic terminal tasks | 4.5% |
| τ²-Bench Tool use / agents | 27.8% |
Scores sourced from Artificial Analysis.
Find other Mistral AI models →
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Frequently Asked Questions
You can access Magistral Small 1.2 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 Magistral Small 1.2 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 | $0.5 |
| Output | $1.5 |
Magistral Small 1.2 was created by Mistral AI and released on Mar 17, 2025.
Magistral Small 1.2 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
Magistral Small 1.2 can generate up to 131K tokens in a single response.
Magistral Small 1.2 has a knowledge cutoff date of Jun 2025. This means the model was trained on data available up to that date.
Magistral Small 1.2 accepts the following input types: text. It produces: text.
Yes, Magistral Small 1.2 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Magistral Small 1.2 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 Magistral Small 1.2 to your app without worrying about API keys or setup.
Read the Docs View Tutorials