Qwen: QwQ 32B

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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 131K

tokens

Max Output 131K

tokens

Input Cost $0.15

per million tokens

Output Cost $0.58

per million tokens

Release Date Mar 6, 2025

 

Output Speed 31

tokens / sec

Latency 0.48s

time to first token

Code Example

Add AI to your app with the Puter.js AI API — no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Frequently Asked Questions

How do I use QwQ 32B?

You can access QwQ 32B by Qwen 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.

Is QwQ 32B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add QwQ 32B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for QwQ 32B?
QwQ 32B costs $0.15 per 1M input tokens and $0.58 per 1M output tokens.
Price per 1M tokens
Input$0.15
Output$0.58
Who created QwQ 32B?

QwQ 32B was created by Qwen and released on Mar 6, 2025.

What is the context window of QwQ 32B?

QwQ 32B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of QwQ 32B?

QwQ 32B can generate up to 131K tokens in a single response.

How does QwQ 32B perform on benchmarks?

QwQ 32B scores 19.7 on the Artificial Analysis Intelligence Index, outperforming 50% of tracked models. On math, it scores 29.0 (outperforms 29% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

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.

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