DeepSeek
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new...
Running this yourself: likely needs a rented cloud gpu.
39.5
Quality Score
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Arena ELO
32B
Parameters
128K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Jan 2025
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
DeepSeek R1 Distill Qwen 32B Benchmark Update
Quality: 17.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.739% | HumanEval: 0.27%
View sourceDeepSeek-R1-Distill-Qwen-32B — LiveBench Scores
language: 0.4 | coding: 0.5 | instruction_following: 0.2 | Overall: 0.4
View sourceDeepSeek R1 Distill Qwen 32B Benchmark Update
Quality: 17.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.739% | HumanEval: 0.27%
View sourceDeepSeek-R1-Distill-Qwen-32B — LiveBench Scores
language: 0.4 | coding: 0.5 | instruction_following: 0.2 | Overall: 0.4
View sourceDeepSeek R1 Distill Qwen 32B Benchmark Update
Quality: 17.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.739% | HumanEval: 0.27%
View sourceDeepSeek-R1-Distill-Qwen-32B — LiveBench Scores
language: 0.4 | coding: 0.5 | instruction_following: 0.2 | Overall: 0.4
View source