ArtECulture: leaderboard
ArtECulture (National University of Singapore and collaborators, 2026) tests culture-conditioned visual emotion understanding: predicting the majority emotion an artwork evokes in a given culture across 679 zero-shot test images. Accuracy is the mean over the English, Chinese and Arabic cultures, in percent; higher is better.
Metric: Accuracy (%; mean of the English, Chinese and Arabic culture accuracies; zero-shot prediction of the majority emotion (nine categories) that the target culture perceives in each of the 679 test artworks; original models without the authors retrieval knowledge or fine-tuning). Source: arxiv.org. Saturation forecast: Around 2030. 16 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.5 Flash | 49.88 | #98 |
| 2 | Gemini 3 Flash | 49.68 | #159 |
| 3 | Qwen 3.5 27B | 48.4 | #358 |
| 4 | Gemma 4 31B (IT) | 48.01 | #343 |
| 5 | Claude Opus 4.8 | 47.86 | #56 |
| 6 | Claude Sonnet 4.6 | 46.59 | #158 |
| 7 | Qwen 3.6 35B A3B | 46.05 | #461 |
| 8 | Qwen 3.6 27B | 44.77 | #339 |
| 9 | GPT-5.5 | 44.13 | #48 |
| 10 | Qwen 3.5 9B | 43.45 | #803 |
| 11 | Gemma 3 12B (IT) | 39.37 | #1849 |
| 12 | Pixtral-12B | 32.5 | #2493 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=arteculture · How It Works · Data refreshed daily, snapshot 2026-11-12.