CArtBench - CuratorQA (Subject Recognition): leaderboard
Metric: Exact-match accuracy (%) on the subject and object recognition (QA1) CuratorQA questions of CArtBench (Palace Museum artworks with catalog-grounded multiple-choice and true-or-false questions, answered from the artwork image, constrained decoding, temperature 0); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 235B A22B (Thinking) | 88 |
| 2 | GPT-5 Mini | 84 |
| 3 | Qwen 2.5 VL 7B | 82 |
| 4 | GPT-5 Nano | 62 |
| 5 | GLM-4.5V | 59 |
| 6 | Gemini 2.5 Flash | 51 |
Interactive version: theaggregate.ai/benchmark?slug=cartbench-curatorqa-subject-recognition · How It Works · Data refreshed daily, snapshot 2026-10-07.