Appear2Meaning: leaderboard
Metric: Exact-match accuracy (%, times 100; every predicted metadata field judged correct) on the Appear2Meaning benchmark (750 Getty and Met museum objects, 50 per culture-type combination over four cultural regions and four object types; image-only input, structured JSON prediction; GPT-4.1-mini judge against the museum metadata); higher is better. Source: arxiv.org. Saturation forecast: Around 2031. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 32B Instruct | 2.9 |
| 2 | Qwen 3 VL 8B Instruct | 2.4 |
| 3 | GPT-4.1 Mini | 1.3 |
| 4 | Claude Haiku 4.5 | 1.2 |
| 5 | Pixtral-12B | 0.9 |
| 6 | GPT-5.4 Mini | 0.5 |
Interactive version: theaggregate.ai/benchmark?slug=appear2meaning · How It Works · Data refreshed daily, snapshot 2026-10-07.