MMLU-by-task - Nutrition: leaderboard
The "Nutrition" subtask of MMLU-by-task. A single MMLU subject, reporting per-task multiple-choice accuracy from the MMLU-by-task leaderboard across a wide range of academic and professional domains.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 1257 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Llama 2 70B Base | 78.1 | #1025 |
| 2 | StableBeluga2 | 77.12 | #1078 |
| 3 | Mistral-7B-v0.1 | 75.82 | #1326 |
| 4 | Xwin-LM-70B-V0.1 | 74.84 | #982 |
| 5 | Llama 2 70B Chat | 74.18 | #1237 |
| 6 | Llama 2 70B Chat (HF) | 69.93 | #1264 |
| 7 | internlm-20B | 69.61 | #1296 |
| 8 | WizardLM-70B-V1.0 | 69.28 | #1236 |
| 9 | vicuna-13B-v1.5 | 64.71 | #1392 |
| 10 | vicuna-33B-v1.3 | 63.4 | #1347 |
| 11 | OpenHermes-13B | 62.75 | #1393 |
| 12 | falcon-40B Instruct | 62.75 | #1458 |
| 13 | vicuna-13B-v1.3 | 61.44 | #1447 |
| 14 | trurl-2-13B-academic | 60.78 | #1413 |
| 15 | WizardLM-13B-V1.2 | 60.13 | #1425 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-nutrition · How It Works · Data refreshed daily, snapshot 2026-10-20.