DeepSeek

DeepSeek: R1 Distill Qwen 32B

deepseek/deepseek-r1-distill-qwen-32b

Access R1 Distill Qwen 32B from DeepSeek 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: "deepseek/deepseek-r1-distill-qwen-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: "deepseek/deepseek-r1-distill-qwen-32b"
        }).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="deepseek/deepseek-r1-distill-qwen-32b",
    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": "deepseek/deepseek-r1-distill-qwen-32b",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

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 33K

tokens

Max Output 33K

tokens

Input Cost $0.29

per million tokens

Output Cost $0.29

per million tokens

Release Date Jan 20, 2025

 

Output Speed 43

tokens / sec

Latency 0.47s

time to first token

Model Playground

Try R1 Distill Qwen 32B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat deepseek/deepseek-r1-distill-qwen-32b
DeepSeek
Chat with R1 Distill Qwen 32B
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Benchmarks

How R1 Distill Qwen 32B performs on standard evaluations.

Artificial Analysis
Intelligence Index
17.2
Better than 46% of tracked models
Artificial Analysis
Math Index
63.0
Better than 58% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
61.5%
Humanity's Last Exam Cross-domain reasoning
5.5%
LiveCodeBench Recent coding problems
27.0%
SciCode Scientific programming
37.6%
MATH-500 Competition math
94.1%
AIME 2024 Advanced math exam
68.7%
AIME 2025 Advanced math exam
63.0%
IFBench Instruction following
22.9%
LCR Long-context reasoning
9.7%

Scores sourced from Artificial Analysis.

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DeepSeek V3.2 Speciale

DeepSeek V3.2-Speciale is a high-compute variant designed exclusively for maximum reasoning accuracy, achieving gold-medal performance in IMO 2025, IOI 2025, and ICPC World Finals. It rivals Gemini 3.0 Pro but requires higher token usage and doesn't support tool calling.

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DeepSeek V3.2 Exp

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Frequently Asked Questions

How do I use R1 Distill Qwen 32B?

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.

Is R1 Distill Qwen 32B free?

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.

What is the pricing for R1 Distill Qwen 32B?
Pricing for R1 Distill Qwen 32B is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.29
Output$0.29
Who created R1 Distill Qwen 32B?

R1 Distill Qwen 32B was created by DeepSeek and released on Jan 20, 2025.

What is the context window of R1 Distill Qwen 32B?

R1 Distill Qwen 32B supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.

What is the max output length of R1 Distill Qwen 32B?

R1 Distill Qwen 32B can generate up to 33K tokens in a single response.

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

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.

Get started with Puter.js

Add R1 Distill Qwen 32B to your app without worrying about API keys or setup.

Read the Docs View Tutorials