MMLU-by-task - ARC Challenge: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Chat | 64.08 |
| 2 | Llama 2 70B Base | 62.63 |
| 3 | Llama 2 70B Chat (HF) | 60.49 |
| 4 | vicuna-33B-v1.3 | 59.9 |
| 5 | LLaMA-65B | 59.39 |
| 6 | MythoMax-L2-13B | 58.28 |
| 7 | LLaMA-30B | 58.11 |
| 8 | Mistral-7B-v0.1 | 56.83 |
| 9 | Llama 2 13B Chat Base | 55.63 |
| 10 | vicuna-13B-v1.5 | 54.95 |
| 11 | mpt-30B Instruct | 54.27 |
| 12 | LLaMA-13B | 53.16 |
| 13 | vicuna-13B-v1.3 | 53.16 |
| 14 | mpt-30B | 52.9 |
| 15 | Phi-1.5 | 50.34 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-arc-challenge · How It Works · Data refreshed daily, snapshot 2026-09-05.