DailyClue - Scientific Commonsense: leaderboard
Metric: Accuracy (%) on scientific commonsense reasoning (physics, chemistry and biology in everyday scenes) on DailyClue, 666 question-image pairs from daily scenarios whose answer requires finding a decisive visual clue; question-clue-answer triplets drafted by GPT-5 and Gemini 2.5 Pro, manually verified, and kept only when at most two of o4-mini, Gemini 2.5 Flash and Claude 3.7 Sonnet answered correctly; exact match, with a Gemini 2.5 Pro judge for open-ended answers; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 24 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Pro | 67.48 |
| 2 | GPT-5 | 61.79 |
| 3 | Gemini 2.5 Flash | 56.91 |
| 4 | Qwen 3 VL 235B A22B (Thinking) | 56.1 |
| 5 | O4 Mini | 50.41 |
| 6 | Claude Sonnet 4 | 49.59 |
| 7 | Qwen 3 VL 235B A22B Instruct | 48.78 |
| 8 | Claude Sonnet 4.5 | 47.97 |
| 9 | Claude 3.7 Sonnet | 47.97 |
| 10 | Qwen 2.5 VL 72B Instruct | 47.15 |
| 11 | InternVL3-78B | 42.28 |
| 12 | InternVL3-8B | 41.46 |
| 13 | InternVL3-38B | 39.84 |
| 14 | Qwen 2.5 VL 32B Instruct | 38.21 |
| 15 | Qwen 2.5 VL 7B Instruct | 34.15 |
Interactive version: theaggregate.ai/benchmark?slug=dailyclue-scientific-commonsense · How It Works · Data refreshed daily, snapshot 2026-10-07.