MMLU-by-task - ARC Challenge — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | StableBeluga2 | 65.96 |
| 2 | falcon-180B | 65.1 |
| 3 | Llama 2 70B Chat | 64.08 |
| 4 | Llama 2 70B Base | 62.63 |
| 5 | Llama 2 70B Chat (HF) | 60.49 |
| 6 | vicuna-33B-v1.3 | 59.9 |
| 7 | LLaMA-65B | 59.39 |
| 8 | falcon-40B Instruct | 58.28 |
| 9 | MythoMax-L2-13B | 58.28 |
| 10 | LLaMA-30B | 58.11 |
| 11 | Llama 2 70B Chat GPTQ | 58.11 |
| 12 | Mistral-7B-v0.1 | 56.83 |
| 13 | OpenHermes-13B | 56.48 |
| 14 | Llama 2 13B Chat Base | 55.63 |
| 15 | vicuna-13B-v1.5 | 54.95 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-arc-challenge · How the rankings work · Data refreshed daily, snapshot 2026-07-22.