- MMLU (EM) 88.5
- MMLU-Redux (EM) 89.1
- MMLU-Pro (EM) 75.9
- DROP (3-shot F1) 91.6
- IF-Eval (Prompt Strict) 86.1
- GPQA-Diamond (Pass@1) 59.1
- SimpleQA (Correct) 24.9
- FRAMES (Acc.) 73.3
- LongBench v2 (Acc.) 48.7
- HumanEval-Mul (Pass@1) 82.6
- Best of LiveCodeBench (Pass@1-COT) / LiveCodeBench-Base (Pass@1)
- Codeforces (Percentile) 51.6
- SWE Verified (Resolved) 42
- Aider-Edit (Acc.) 79.7
- Aider-Polyglot (Acc.) 49.6
- AIME 2024 (Pass@1) 39.2
- MATH-500 (EM) 90.2
- CNMO 2024 (Pass@1) 43.2
- CLUEWSC (EM) 90.9
- C-Eval (EM) 86.5
- C-SimpleQA (Correct) 64.8
- Arena-Hard 85.5
- AlpacaEval 2.0 (LC win rate) 70
- Pile-test (BPB) 0.548
- BBH (EM) 87.5
- ARC-Easy (Acc.) 98.9
- ARC-Challenge (Acc.) 95.3
- HellaSwag (Acc.) 88.9
- PIQA (Acc.) 84.7
- WinoGrande (Acc.) 84.9
- RACE-Middle (Acc.) 67.1
- RACE-High (Acc.) 51.3
- TriviaQA (EM) 82.9
- NaturalQuestions (EM) 40
- AGIEval (Acc.) 79.6
- HumanEval (Pass@1) 65.2
- MBPP (Pass@1) 75.4
- Best of CRUXEval-I (Acc.) / CRUXEval-O (Acc.) 69.8
- GSM8K (EM) 89.3
- MATH (EM) 61.6
- MGSM (EM) 79.8
- CMath (EM) 90.7
- CMMLU (Acc.) 88.8
- CMRC (EM) 76.3
- C3 (Acc.) 78.6
- CCPM (Acc.) 92
- MMMLU-non-English (Acc.) 79.4
- Needle In A Haystack (NIAH)
DeepSeek-V3
DeepSeek-V3 ranks first on 3 of the 76 benchmarks with five or more models scored.
DeepSeek-V3
Open weights Flagship
- LongBench v2 48.7% #26 /35
- GPQA Diamond 56.5% #142 /229
- FrontierMath 1.72% #50 /55
Where it ranks
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.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| ARC-Easy | 98.9% | #1 of 23 | Lab model card | |
| DROP | 91.6% | #4 of 41 | Lab model card | |
| ARC-Challenge | 95.3% | #6 of 49 | Lab model card | |
| AGIEval | 79.6% | #7 of 40 | Lab model card | |
| BIG-Bench Hard | 87.5% | #13 of 73 | Lab model card | |
| MMLU | 88.5% | #24 of 131 | Lab model card | |
| AlpacaEval 2.0 | 70% | #3 of 16 | Lab model card | |
| WinoGrande | 84.9% | #9 of 47 | Lab model card | |
| Natural Questions | 40% | #4 of 20 | Lab model card | |
| HellaSwag | 88.9% | #12 of 53 | Lab model card | |
| PIQA | 84.7% | #9 of 37 | Lab model card | |
| TriviaQA | 82.9% | #14 of 40 | Lab model card | |
| CLUEWSC | 90.9% | #3 of 8 | Lab model card | |
| MMLU-Pro | 81.2% | #69 of 167 | Lab model card | |
| Vectara Hallucination Leaderboard (HHEM) | 3.90% | #63 of 148 | Official leaderboard | |
| Arena-Hard-Auto | 85.5% | #17 of 39 | Lab model card | |
| SuperGPQA | 47.4% | #27 of 59 | Official leaderboard | |
| CCPM | 92% | #1 of 2 | Lab model card | |
| RewardBench | 87% | #1 of 2 | Lab model card | |
| LMArena (Elo) | 1,358 | #170 of 335 | Official leaderboard | |
| SimpleQA | 24.9% | #31 of 60 | Lab model card | |
| IFEval | 86.1% | #71 of 135 | Lab model card | |
| CMMLU | 88.8% | #9 of 17 | Lab model card | |
| SEAL Precise Instruction Following | 82.3 | #11 of 18 | Official leaderboard | |
| MMLU-Redux | 89.1% | #28 of 45 | Lab model card | |
| MGSM | 79.8% | #36 of 57 | Lab model card | |
| MMMLU | 79.4% | #45 of 71 | Lab model card | |
| C-Eval | 86.5% | #30 of 46 | Lab model card | |
| C3 | 78.6% | #4 of 6 | Lab model card | |
| WritingBench | 59.2 | #31 of 45 | Official leaderboard | |
| LongBench v2 | 48.7% | #26 of 35 | Lab model card | |
| MARS-Bench | 33.2% | #12 of 15 | Official leaderboard | |
| Chinese SimpleQA | 64.8% | #11 of 13 | Lab model card | |
| FRAMES | 73.3% | #9 of 9 | Lab model card | |
| RACE-H | 51.3% | #7 of 7 | Lab model card | |
| RACE-M | 67.1% | #3 of 3 | Lab model card | |
| CMRC | 76.3% | #1 of 1 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| ZebraLogic | 42.1% | #6 of 46 | Official leaderboard | |
| U-MATH | 62.6% | #8 of 30 | Official leaderboard | |
| MATH Level 5 | 64.8% | #39 of 94 | Epoch AI run | |
| GSM8K | 89.3% | #44 of 92 | Lab model card | |
| CMATH | 90.7% | #3 of 6 | Lab model card | |
| MATH | 61.6% | #55 of 99 | Lab model card | |
| GPQA Diamond | 56.5% | #142 of 229 | Epoch AI run | |
| MATH-500 | 90.2% | #52 of 70 | Lab model card | |
| OTIS Mock AIME 2024-2025 | 15.8% | #159 of 212 | Epoch AI run | |
| AIME 2024 | 59.4% | #70 of 88 | Lab model card | |
| PolyMath | 20.4% | #32 of 38 | Official leaderboard | |
| Misguided Attention | 26.9% | #39 of 45 | Official leaderboard | |
| FrontierMath | 1.72% | #50 of 55 | Official leaderboard | |
| SimpleBench | 18.9% | #101 of 106 | Official leaderboard | |
| CNMO 2024 | 43.2% | #7 of 7 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BigCodeBench | 56.1% | #2 of 69 | Official leaderboard | |
| BigCodeBench-Hard | 34.5% | #5 of 96 | Official leaderboard | |
| HumanEval+ | 86.6% | #6 of 46 | Official leaderboard | |
| Aider-Edit | 79.7% | #1 of 5 | Lab model card | |
| HumanEval Multi | 82.6% | #1 of 5 | Lab model card | |
| MBPP+ | 73% | #10 of 35 | Official leaderboard | |
| SciCode | 3.10% | #7 of 18 | Official leaderboard | |
| CRUXEval | 69.8% | #4 of 9 | Lab model card | |
| MBPP | 75.4% | #32 of 71 | Lab model card | |
| LiveCodeBench | 49.2% | #30 of 54 | Lab model card | |
| SWE-bench Lite | 30.7% | #9 of 15 | Official leaderboard | |
| METR Time Horizon | 20 min | #19 of 31 | Official leaderboard | |
| SEAL Coding | 985 | #17 of 26 | Official leaderboard | |
| Aider Polyglot | 49.6% | #21 of 30 | Lab model card | |
| Multi-SWE-bench | 4.72% | #8 of 11 | Official leaderboard | |
| HumanEval | 65.2% | #77 of 101 | Lab model card | |
| LiveCodeBench v5 | 31.7% | #17 of 21 | Official leaderboard | |
| BigO(Bench) | 27.1% | #16 of 18 | Official leaderboard | |
| SWE-bench Verified | 42% | #141 of 155 | Lab model card | |
| LiveCodeBench v6 | 27.2% | #20 of 21 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AceBench | 74.8% | #5 of 16 | Official leaderboard | |
| ToolComp | 62.5% | #12 of 32 | Official leaderboard | |
| Elimination Game | 4 | #29 of 56 | Official leaderboard | |
| LisanBench | 372.3 | #74 of 133 | Official leaderboard | |
| Step Race | 1 | #46 of 59 | Official leaderboard | |
| Factorio Learning Environment | 48585.0 | #5 of 6 | Official leaderboard | |
| LLM Chess | -823 | #123 of 123 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BaxBench | 24.7% | #20 of 34 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Pile-test | 0.55 | #1 of 1 | Lab model card |
Its lab's numbers put it at 129.5, 2.2 points below its ECI
The Self-Reported Index fits one score to the 36 capability results DeepSeek reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 127.8 to 131.1. How we compute it.
- ARC-Easy 98.9
- ARC-Challenge 95.3
- DROP 91.6
- CLUEWSC 90.9
- MATH-500 90.2
- GSM8K 89.3
- MMLU-Redux 89.1
- HellaSwag 88.9
- CMMLU 88.8
- MMLU 88.5
- BIG-Bench Hard 87.5
- C-Eval 86.5
- IFEval 86.1
- Arena-Hard-Auto 85.5
- WinoGrande 84.9
- PIQA 84.7
- TriviaQA 82.9
- MMLU-Pro 81.2
- MGSM 79.8
- AGIEval 79.6
- MMMLU 79.4
- MBPP 75.4
- FRAMES 73.3
- AlpacaEval 2.0 70
- CRUXEval 69.8
- GPQA Diamond 68.4
- HumanEval 65.2
- Chinese SimpleQA 64.8
- MATH 61.6
- AIME 2024 59.4
- Aider Polyglot 49.6
- LiveCodeBench 49.2
- LongBench v2 48.7
- SWE-bench Verified 42
- Natural Questions 40
- SimpleQA 24.9
Its lab's numbers next to 5 leaderboards
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| HumanEval | 65.2% HumanEval (Pass@1) | 91.5% Leaderboard | −26 pts |
| LiveCodeBench | 49.2% LiveCodeBench | 61.7% Leaderboard, 2023-05-01 to 2024-10-01 (exclusive) | −13 pts |
| MBPP | 75.4% MBPP (Pass@1) | 87.6% Leaderboard, EvalPlus subset, original tests | −12 pts |
| GPQA Diamond | 68.4% GPQA | 56.5% Epoch AI run | +12 pts |
| CNMO 2024 | 43.2% CNMO 2024 (Pass@1) | 43.2% Leaderboard | Same |
DeepSeek's models over time
DeepSeek's models in color, against every other model on the Epoch Capabilities Index, by release date.
Source: Epoch Capabilities Index, Epoch AI (CC BY 4.0)
Its launch posts
The benchmarks the lab chose to headline, with the scores it gave.
- MMLU-Pro 81.2
- GPQA 68.4
- AIME 59.4
- LiveCodeBench 49.2
- MATH-500 (Pass@1)
Its system card
Every result in the longer documents the lab published with it. 1 of them isn't in the launch post.
Capabilities
- MMLU 88.5
- MMLU-Redux 89.1
- MMLU-Pro 75.9
- DROP 91.6
- IFEval 86.1
- GPQA Diamond 59.1
- FRAMES 73.3
- LongBench v2 48.7
- HumanEval Multi 82.6
- LiveCodeBench
- Codeforces rating
- SWE-bench Verified 42
- Aider-Edit 79.7
- Aider Polyglot 49.6
- AIME 2024 39.2
- MATH-500 90.2
- CNMO 2024 43.2
- CLUEWSC 90.9
- C-Eval 86.5
- Arena-Hard-Auto 85.5
- AlpacaEval 2.0 70
- RewardBench 87
- Needle In A Haystack
Hallucination
- SimpleQA 24.9
- Chinese SimpleQA 64.8