Model profile
DeepSeek R1 Distill Qwen 32B
Evidence coverage
6 of 323 tracked benchmarks are published. 0 are verified and 6 provisional. 4 of 8 categories are measured.
- Published / tracked
- 6 / 323
- Verified
- 0
- Provisional
- 6
- Categories with evidence
- 4 / 8
Evidence by category
- Agentic0 benchmarksNot measured
- Coding1 benchmarkReported
- Reasoning1 benchmarkReported
- Knowledge3 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following1 benchmarkReported
DeepSeek R1 Distill Qwen 32B ranks #160 out of 200 models on the public leaderboard with an overall score of 42.58/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
DeepSeek R1 Distill Qwen 32B is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 6 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 42.06–43.2
- Gemma 4 E4BGoogleCompare#15543.2Gemma 4 E4B is #155 with a score of 43.2.
- Mistral Medium 3MistralCompare#15643.2Mistral Medium 3 is #156 with a score of 43.2.
- Sarvam 105BSarvamCompare#15742.97Sarvam 105B is #157 with a score of 42.97.
- Claude 4 SonnetAnthropicCompare#15842.79Claude 4 Sonnet is #158 with a score of 42.79.
- GPT-OSS 20BOpenAICompare#15942.74GPT-OSS 20B is #159 with a score of 42.74.
- DeepSeek R1 Distill Qwen 32BCurrent modelDeepSeek#16042.58DeepSeek R1 Distill Qwen 32B is #160 with a score of 42.58.
- GPT-4.1 nanoOpenAICompare#16142.06GPT-4.1 nano is #161 with a score of 42.06.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%1 benchmarkReported | Score pending | Not ranked | Not available | 20% | 1 benchmark | Reported |
| ReasoningWeight 17%1 benchmarkReported | Score pending | Not ranked | Not available | 17% | 1 benchmark | Reported |
| KnowledgeWeight 12%3 benchmarksReported | Score pending | Not ranked | Not available | 12% | 3 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Coding1 benchmark
Artificial Analysis SciCode
Reasoning1 benchmark
Artificial Analysis Long Context Reasoning
Knowledge3 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does DeepSeek R1 Distill Qwen 32B perform overall in AI benchmarks?
DeepSeek R1 Distill Qwen 32B has 6 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is DeepSeek R1 Distill Qwen 32B good for knowledge and understanding?
DeepSeek R1 Distill Qwen 32B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek R1 Distill Qwen 32B good for coding and programming?
DeepSeek R1 Distill Qwen 32B has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek R1 Distill Qwen 32B good for reasoning and logic?
DeepSeek R1 Distill Qwen 32B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek R1 Distill Qwen 32B good for instruction following?
DeepSeek R1 Distill Qwen 32B has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is DeepSeek R1 Distill Qwen 32B open source?
Yes, DeepSeek R1 Distill Qwen 32B is an open weight model created by DeepSeek, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does DeepSeek R1 Distill Qwen 32B have full benchmark coverage on BenchLM?
Not yet. DeepSeek R1 Distill Qwen 32B currently has 6 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of DeepSeek R1 Distill Qwen 32B?
DeepSeek R1 Distill Qwen 32B has a published context window of 128K, which determines how much text it can process in a single interaction.
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