MMLU-by-task - Philosophy: leaderboard
The "Philosophy" 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 | 78.78 | #1025 |
| 2 | Xwin-LM-70B-V0.1 | 77.17 | #982 |
| 3 | Llama 2 70B Chat | 75.88 | #1237 |
| 4 | StableBeluga2 | 75.56 | #1078 |
| 5 | Llama 2 70B Chat (HF) | 70.42 | #1264 |
| 6 | Mistral-7B-v0.1 | 69.77 | #1326 |
| 7 | WizardLM-70B-V1.0 | 69.77 | #1236 |
| 8 | vicuna-33B-v1.3 | 68.17 | #1347 |
| 9 | internlm-20B | 64.95 | #1296 |
| 10 | MythoMax-L2-13B | 64.31 | #1409 |
| 11 | vicuna-13B-v1.5 | 63.99 | #1392 |
| 12 | falcon-40B Instruct | 63.99 | #1458 |
| 13 | Chinese-Alpaca-2-13B | 63.67 | #1414 |
| 14 | OpenHermes-13B | 60.77 | #1393 |
| 15 | Llama 2 7B Base | 60.13 | #1518 |
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-philosophy · How It Works · Data refreshed daily, snapshot 2026-10-20.