DeepSeek: R1 Distill Qwen 32B
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DeepSeek R1 Distill Qwen 32B is a 32 billion parameter dense model fine-tuned from Qwen 2.5 using R1-generated reasoning data, achieving state-of-the-art results for dense models. It outperforms OpenAI o1-mini on various benchmarks while being efficient enough for local deployment.
Context Window 128K
tokens
Max Output 33K
tokens
Input Cost $0.29
per million tokens
Output Cost $0.29
per million tokens
Release Date Jan 29, 2025
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
You can access R1 Distill Qwen 32B by DeepSeek 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 R1 Distill Qwen 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.
| Price per 1M tokens | |
|---|---|
| Input | $0.29 |
| Output | $0.29 |
R1 Distill Qwen 32B was created by DeepSeek and released on Jan 29, 2025.
R1 Distill Qwen 32B supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
R1 Distill Qwen 32B can generate up to 33K tokens in a single response.
R1 Distill Qwen 32B scores 11.0 on the Artificial Analysis Intelligence Index, outperforming 39% of tracked models. On math, it scores 63.0 (outperforms 58% of models).
Yes — the R1 Distill Qwen 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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