DeepSeek: R1 Distill Qwen 32B
DeepSeek • LLM
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...
Specifications
Context Window
128K tokens
Input Price/1M
—
Output Price/1M
—
Parameters
—
Max Output
33K tokens
Benchmarks
DeepSeek: R1 Distill Qwen 32B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 38.0 | 100.0 | — |
| LiveCodeBench | 27.0 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 74.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 10.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 94.1 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 63.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 63.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 17.2 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 73.9 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 62.0 | 100.0 | Artificial Analysis official API |
| IFBench | 23.0 | 100.0 | — |
| HLE | 6.0 | 100.0 | — |
Information
- Release date
- January 20, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: DeepSeek: R1 Distill Qwen 32B
What is DeepSeek: R1 Distill Qwen 32B?
DeepSeek: R1 Distill Qwen 32B is an AI model developed by DeepSeek, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
DeepSeek: R1 Distill Qwen 32B does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check DeepSeek's official website for up-to-date availability and pricing.
Benchmarks & Performance
DeepSeek: R1 Distill Qwen 32B was evaluated on 12 different benchmarks, covering categories like Coding, Knowledge, Long Context, Math, overall, Reasoning. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
DeepSeek: R1 Distill Qwen 32B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, DeepSeek: R1 Distill Qwen 32B competes directly with similarly capable models. DeepSeek competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is DeepSeek: R1 Distill Qwen 32B?
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...
How much does DeepSeek: R1 Distill Qwen 32B cost?
DeepSeek: R1 Distill Qwen 32B does not have public per-token pricing available at this time. Check DeepSeek's official website for up-to-date information.
How does DeepSeek: R1 Distill Qwen 32B compare with other models?
In available benchmarks, DeepSeek: R1 Distill Qwen 32B scored: SciCode: 38/100, LiveCodeBench: 27/100, MMLU-Pro: 74/100. See the full table above for a detailed comparison.
Is DeepSeek: R1 Distill Qwen 32B open source?
Yes, DeepSeek: R1 Distill Qwen 32B is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is DeepSeek: R1 Distill Qwen 32B best for?
DeepSeek: R1 Distill Qwen 32B excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 01, 2026 • View methodology →