HELM MMLU - Nutrition: leaderboard
Metric: EM. Source: crfm.stanford.edu. 79 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 3.1 405B Instruct | 92.81 |
| 2 | Claude 3 Opus (20240229) | 92.48 |
| 3 | Claude 3.5 Sonnet (20241022) | 92.16 |
| 4 | DeepSeek V3 | 91.83 |
| 5 | Claude 3.5 Sonnet (20240620) | 91.18 |
| 6 | GPT-4o (2024-08-06) | 90.52 |
| 7 | Qwen 2 72B Instruct | 90.2 |
| 8 | GPT-4o (2024-05-13) | 89.87 |
| 9 | GPT-4 Turbo | 89.22 |
| 10 | GPT-4 (0613) | 89.22 |
| 11 | Llama 3.1 70B Instruct | 88.89 |
| 12 | Llama 3.2 90B Vision Instruct | 88.89 |
| 13 | Gemini 1.5 Pro (002) | 88.56 |
| 14 | Qwen 2.5 72B Instruct | 88.56 |
| 15 | Llama 3.3 70B Instruct | 88.24 |
Interactive version: theaggregate.ai/benchmark?slug=helm-mmlu-nutrition · How It Works · Data refreshed daily, snapshot 2026-09-08.