ARC Challenge (AI2) — leaderboard
AI2 Reasoning Challenge: 7,787 science exam questions at grade-school level. The 'Challenge' set contains questions that simple retrieval and co-occurrence methods fail on.
Metric: Accuracy (%). Source: epoch.ai. Status: saturated. 77 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Human Expert | 100 |
| 2 | DeepSeek V3 | 95.3 |
| 3 | Llama 3.1 405B | 95.3 |
| 4 | Qwen 2.5 72B | 94.5 |
| 5 | DeepSeek V2 | 92.2 |
| 6 | Phi-3-medium-128k-instruct | 91.6 |
| 7 | Phi-3-small-8k-instruct | 90.7 |
| 8 | GPT-3.5 Turbo (1106) | 87.4 |
| 9 | Mixtral 8x7B (v0.1) | 87.3 |
| 10 | Claude Instant 1.2 | 86.3 |
| 11 | StableBeluga2 | 86.1 |
| 12 | Claude Instant 1.1 | 85.7 |
| 13 | text-davinci-002 | 85.2 |
| 14 | Phi-3 Mini 4K Instruct | 84.9 |
| 15 | Qwen-14B | 84.4 |
Interactive version: theaggregate.ai/benchmark?slug=arc-challenge-ai2 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.