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A head-to-head benchmark comparison of DeepSeek-R1-Distill-Qwen-7B across 18 evaluations.
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (.
Full DeepSeek-R1-Distill-Qwen-7B specs →| Benchmark | DeepSeek-R1-Distill-Qwen-7B |
|---|---|
| code | |
| HumanEval | 79.89% |
| HumanEval+ | 78.43% |
| LiveCodeBench v5 | 37.6% |
| LiveCodeBench v6 | 23.9% |
| general | |
| AlpacaEval 2 | 15.35% |
| ArenaHard | 10.36% |
| IFEval | 60.5% |
| MMLU | 50.72% |
| MMLU-Pro | 53.5% |
| knowledge | |
| SuperGPQA | 28.9 |
| math | |
| AIME 2024 | 83.3% |
| AIME 2025 | 56.7% |
| GSM8K | 78.47% |
| MATH-500 | 92.8% |
| reasoning | |
| BIG-Bench Hard | 65.04% |
| DROP | 77% |
| GPQA Diamond | 49.1% |
| safety | |
| TruthfulQA | 47.14% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
DeepSeek-R1-Distill-Qwen-7B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 18 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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