DeepSeek logo

R1 Distill Qwen 32B: Pricing, Context Window & Benchmarks

32B

by DeepSeek

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

Chat with R1 Distill Qwen 32B
Input Price
$0.27/1M tokens
Output Price
$0.27/1M tokens
Intelligence
17.2
Coding
N/A

What you can do with R1 Distill Qwen 32B

Everyday Q&A and clear explanations

Writing help (emails, posts, summaries)

Idea generation and brainstorming

Learning support with step-by-step guidance

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Highlights

6 tests
GPQA
61.5%
MMLU Pro
73.9%
LiveCodeBench
27.0%
Math 500
94.1%
AIME 2025
63.0%
HLE
5.5%
Metric Value
Provider DeepSeek
Context Window 32,768 tokens
Input Price $0.27/1M tokens
Output Price $0.27/1M tokens
Release Date Jan 20, 2025
Modalities text
Capabilities N/A

Compare R1 Distill Qwen 32B to other models

See how it stacks up on price, quality, and overall performance.

Frequently asked questions

What is R1 Distill Qwen 32B good for?

Use R1 Distill Qwen 32B for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does R1 Distill Qwen 32B cost?

Pricing is based on usage. Current rates are $0.27/1M tokens for input and $0.27/1M tokens for output.

Can I try R1 Distill Qwen 32B for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does R1 Distill Qwen 32B support images or audio?

R1 Distill Qwen 32B focuses on text-based tasks.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.