mistralai/mistral-saba
Model Card
Mistral Saba is a 24B parameter regional model trained for Arabic and South Asian languages including Tamil and Malayalam. It outperforms models 5x its size on Arabic benchmarks while providing culturally relevant responses.
Context Window N/A
tokens
Max Output N/A
tokens
Input Cost $0.2
per million tokens
Output Cost $0.6
per million tokens
Release Date Feb 17, 2025
API Usage Example
Add Mistral Saba to your app with just a few lines of code.
No API keys, no backend, no configuration required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "mistralai/mistral-saba"
}).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-saba"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
The Mistral Saba API gives you access to Mistral AI's chat model through Puter.js. With just a few lines of JavaScript, you can integrate Mistral Saba into any web app or Node.js project — no API keys, no backend, and no configuration required.
Mistral Saba was created by Mistral AI and released on Feb 17, 2025.
| Price per 1M tokens | |
|---|---|
| Input | $0.2 |
| Output | $0.6 |
You can access the Mistral Saba API with just a few lines of JavaScript — no API keys, no backend, and no configuration required. Include the Puter.js library in your project and start making calls right away. For more details, check out our documentation.
Yes — the Mistral Saba 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 Saba to your app without worrying about API keys or setup.
Read the Docs View Tutorials