AesCanvas - Contextual Suitability: leaderboard
AesCanvas (Huazhong University of Science and Technology and Nanyang Technological University, 2026) tests contextual aesthetic suitability: judging whether an image is an appropriate visual choice for a stated purpose, audience and cultural context, over 301 expert-reviewed ContextCanvas cases. Exact-match accuracy in percent, higher is better.
Metric: Exact-match accuracy (%; one option label per ContextCanvas case on whether an image is an appropriate visual choice for a stated use scenario, audience and context; all 301 expert-reviewed cases (291 two-option, 10 three-option); images resized to 448 x 448, deterministic decoding, no retrieval or tools, unparsable answers counted wrong). Source: arxiv.org. Saturation forecast: Around February 2027. 17 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 5 | 91.69 | #20 |
| 2 | Gemini 3.1 Pro (Preview) | 85.71 | #91 |
| 3 | GPT-5.5 | 83.06 | #48 |
| 4 | Claude Opus 4.6 | 72.76 | #100 |
| 5 | GPT-5.2 | 71.43 | #172 |
| 6 | GLM-5V Turbo | 57.81 | #342 |
| 7 | Qwen 3.7 Plus | 51.83 | #203 |
| 8 | Grok 4.20 | 44.19 | #296 |
| 9 | InternVL3-8B | 23.26 | #1695 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=aescanvas-contextual-suitability · How It Works · Data refreshed daily, snapshot 2026-11-12.