MMLU-by-task - Anatomy: leaderboard
The "Anatomy" 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 | Xwin-LM-70B-V0.1 | 65.19 | #982 |
| 2 | Mistral-7B-v0.1 | 62.96 | #1326 |
| 3 | Llama 2 70B Base | 62.96 | #1025 |
| 4 | StableBeluga2 | 62.96 | #1078 |
| 5 | Llama 2 70B Chat | 60 | #1237 |
| 6 | falcon-40B Instruct | 54.07 | #1458 |
| 7 | internlm-20B | 53.33 | #1296 |
| 8 | MythoMax-L2-13B | 52.59 | #1409 |
| 9 | Llama 2 70B Chat (HF) | 51.85 | #1264 |
| 10 | trurl-2-13B-academic | 51.85 | #1413 |
| 11 | WizardLM-13B-V1.2 | 51.11 | #1425 |
| 12 | trurl-2-7B | 50.37 | #1494 |
| 13 | vicuna-33B-v1.3 | 50.37 | #1347 |
| 14 | vicuna-13B-v1.3 | 49.63 | #1447 |
| 15 | vicuna-13B | 49.63 | #1469 |
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-anatomy · How It Works · Data refreshed daily, snapshot 2026-10-20.