qwen/qwq-32b
Model Card
QwQ 32B is a 32B parameter reasoning model rivaling DeepSeek-R1 (671B) through scaled reinforcement learning. It excels in math, coding, and complex reasoning with 131K context and agent capabilities.
Context Window N/A
tokens
Max Output 33K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.4
per million tokens
Release Date Mar 6, 2025
API Usage Example
Add QwQ 32B 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: "qwen/qwq-32b"
}).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: "qwen/qwq-32b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
The QwQ 32B API gives you access to Qwen's chat model through Puter.js. With just a few lines of JavaScript, you can integrate QwQ 32B into any web app or Node.js project — no API keys, no backend, and no configuration required.
QwQ 32B was created by Qwen and released on Mar 6, 2025.
QwQ 32B can generate up to 33K tokens in a single response.
| Price per 1M tokens | |
|---|---|
| Input | $0.15 |
| Output | $0.4 |
You can access the QwQ 32B 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 QwQ 32B 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 QwQ 32B to your app without worrying about API keys or setup.
Read the Docs View Tutorials