DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning (arXiv 2501.12948) 20 Jan 2025
Capabilities
- AIME 2024 69.7
- MATH-500 93.9
- GPQA Diamond 59.1
- LiveCodeBench 53.1
- Codeforces rating 1481
DeepSeek-R1-Distill-Qwen-14B.
Open weights
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MathIF | 39.3% | #7 of 12 | Official leaderboard | |
| ALRAGE | 55.9% | #30 of 39 | Official leaderboard | |
| MadinahQA | 29.1% | #33 of 39 | Official leaderboard | |
| ArbMMLU-HT | 24.1% | #34 of 39 | Official leaderboard | |
| ArabicMMLU | 30.4% | #35 of 39 | Official leaderboard | |
| AlGhafa | 32.6% | #38 of 39 | Official leaderboard | |
| Open Arabic LLM Leaderboard v2 | 32.4% | #38 of 39 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH Level 5 | 87.1% | #21 of 94 | Epoch AI | |
| PolyMath | 28.6% | #23 of 38 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 50.6% | #126 of 202 | Epoch AI | |
| MATH-500 | 93.9% | #45 of 67 | Model card | |
| AIME 2024 | 69.7% | #65 of 87 | Model card | |
| GPQA Diamond | 44.7% | #167 of 219 | Epoch AI | |
| HMMT 2025 | 31.7% | #45 of 53 | Official leaderboard | |
| AIME 2025 | 49.2% | #46 of 53 | Official leaderboard | |
| BRUMO 2025 | 68.3% | #39 of 42 | Official leaderboard | |
| SMT 2025 | 54.7% | #40 of 40 | Official leaderboard |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench | 53.1% | #39 of 73 | Model card | |
| BigCodeBench | 43.3% | #39 of 69 | Official leaderboard | |
| BigCodeBench-Hard | 20.9% | #55 of 96 | Official leaderboard | |
| Codeforces rating | 1,481 | #37 of 41 | Model card |
Every result in the longer documents the lab published with it. 5 of them aren't in the launch post.