- MATH-500 (reasoning) 96.3
- AIME'24 (reasoning) 81.9
- AIME'25 (reasoning) 78.1
- GPQA Diamond (reasoning) 70.5
- BBH (reasoning) 86.3
- LCBv6 Aug2024+ (reasoning) 61.3
- MMLU (reasoning) 87.2
- MMLU-Pro (reasoning) 80.5
- SimpleQA (reasoning) 25.8
- IFEval (Loose) (reasoning) 81.5
- Arena-Hard v1 (reasoning) 94.4
- RefusalBench (reasoning) 57.1
- RewardBench (reasoning) 73
- DROP (reasoning) 83.5
- MuSR (reasoning) 66.1
- OBQA (reasoning) 94.2
- EQBench3 (reasoning)
- CreativeWriting3 (reasoning) 79.8
Hermes 4 405B
Hermes 4 405B places in the top three on 2 benchmarks.
Hermes 4 405B
Open weights Flagship
- MMLU-Pro 80.6% #75 /167
- LiveCodeBench v6 61.4% #74 /90
- AIME 2025 78.1% #91 /143
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 | |
|---|---|---|---|---|
| Arena-Hard-Auto | 94.4% | #3 of 39 | Lab model card | |
| OpenBookQA | 94.2% | #2 of 24 | Lab model card | |
| BIG-Bench Hard | 86.3% | #21 of 73 | Lab model card | |
| MMLU | 87.2% | #39 of 131 | Lab model card | |
| EQ-Bench 3 | 1,405 | #33 of 78 | Official leaderboard | |
| DROP | 83.5% | #18 of 41 | Lab model card | |
| MMLU-Pro | 80.6% | #75 of 167 | Lab model card | |
| SimpleQA | 25.8% | #29 of 60 | Lab model card | |
| Creative Writing v3 | 66.7 | #63 of 120 | Official leaderboard | |
| MuSR | 66.1% | #4 of 6 | Lab model card | |
| Longform Creative Writing (EQ-Bench) | 51.2 | #81 of 119 | Official leaderboard | |
| IFEval | 81.5% | #101 of 135 | Lab model card | |
| RewardBench | 73% | #2 of 2 | Lab model card |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AIME 2024 | 81.9% | #35 of 88 | Lab model card | |
| MATH-500 | 96.3% | #30 of 70 | Lab model card | |
| GPQA Diamond | 70.6% | #181 of 302 | Lab model card | |
| AIME 2025 | 78.1% | #91 of 143 | Lab model card |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench v6 | 61.4% | #74 of 90 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SnakeBench | 21 | #128 of 188 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| nocot-bench (NCRI) | 62.8 | #130 of 185 | Official leaderboard | |
| RefusalBench (Nous Research) | 57.1% | #2 of 2 | Lab model card |
Its lab's numbers put it at 135.0, number 230 of 404
The Self-Reported Index fits one score to the 13 capability results Nous Research 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 132.3 to 137.7. How we compute it.
- MATH-500 96.3
- Arena-Hard-Auto 94.4
- OpenBookQA 94.2
- MMLU 87.2
- BIG-Bench Hard 86.3
- DROP 83.5
- AIME 2024 81.9
- IFEval 81.5
- MMLU-Pro 80.6
- AIME 2025 78.1
- GPQA Diamond 70.6
- LiveCodeBench v6 61.4
- SimpleQA 25.8
Its lab's number next to a leaderboard
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 |
|---|---|---|---|
| Creative Writing v3 | 79.8 CreativeWriting3 (reasoning) | 66.7 Leaderboard | +13.1 |
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it.
Capabilities
- MATH-500 96.2
- AIME 2024 81.9
- AIME 2025 78.1
- GPQA Diamond 70.6
- BIG-Bench Hard 86.3
- LiveCodeBench v6 61.4
- MMLU 87.2
- MMLU-Pro 80.6
- IFEval 81.5
- Arena-Hard-Auto 93.7
- RewardBench 73
- DROP 83.5
- MuSR 66.1
- OpenBookQA 94.2
- EQ-Bench 3
- Creative Writing v3 79.3
Hallucination
- SimpleQA 25.8