MMLU-by-task - Human Aging: leaderboard
The "Human Aging" 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 | 80.27 | #1025 |
| 2 | Llama 2 70B Chat | 79.37 | #1237 |
| 3 | Xwin-LM-70B-V0.1 | 79.37 | #982 |
| 4 | StableBeluga2 | 78.03 | #1078 |
| 5 | Llama 2 70B Chat (HF) | 72.65 | #1264 |
| 6 | Mistral-7B-v0.1 | 70.4 | #1326 |
| 7 | WizardLM-70B-V1.0 | 70.4 | #1236 |
| 8 | MythoMax-L2-13B | 68.61 | #1409 |
| 9 | OpenHermes-13B | 66.37 | #1393 |
| 10 | internlm-20B | 66.37 | #1296 |
| 11 | vicuna-13B-v1.5 | 65.92 | #1392 |
| 12 | falcon-40B Instruct | 65.92 | #1458 |
| 13 | vicuna-33B-v1.3 | 65.47 | #1347 |
| 14 | Llama 2 13B Chat Base | 64.57 | #1422 |
| 15 | WizardLM-13B-V1.2 | 63.23 | #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-human-aging · How It Works · Data refreshed daily, snapshot 2026-10-20.