MMLU-by-task - Professional Law: leaderboard
The "Professional Law" 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 Chat | 56.65 | #1237 |
| 2 | StableBeluga2 | 54.63 | #1078 |
| 3 | Xwin-LM-70B-V0.1 | 53.85 | #982 |
| 4 | Llama 2 70B Base | 53.19 | #1025 |
| 5 | WizardLM-70B-V1.0 | 50.2 | #1236 |
| 6 | Llama 2 70B Chat (HF) | 47.72 | #1264 |
| 7 | vicuna-33B-v1.3 | 47.52 | #1347 |
| 8 | internlm-20B | 47.07 | #1296 |
| 9 | Mistral-7B-v0.1 | 44.78 | #1326 |
| 10 | OpenHermes-13B | 43.22 | #1393 |
| 11 | vicuna-13B-v1.5 | 43.09 | #1392 |
| 12 | MythoMax-L2-13B | 42.7 | #1409 |
| 13 | vicuna-13B-v1.3 | 42.37 | #1447 |
| 14 | Chinese-Alpaca-2-13B | 42.31 | #1414 |
| 15 | WizardLM-13B-V1.2 | 41.66 | #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-professional-law · How It Works · Data refreshed daily, snapshot 2026-10-20.