DiCoBench - Instance Commonality: leaderboard
Metric: Accuracy (%) on the instance-commonality task (re-identify one physical object across very different scenes) of DiCoBench (765 multi-image samples at near-2K resolution): 5-option multiple choice (four candidate image pairs or instructions plus a no-visible-commonality option, chance 20%), answer letter matched exactly, VLMEvalKit settings at temperature 0; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 VL 7B Instruct | 74.6 |
| 2 | Gemini 3 Pro | 72.7 |
| 3 | O4 Mini | 71.8 |
| 4 | GPT-4.1 Mini | 70.9 |
| 5 | GPT-5 | 66.4 |
| 6 | Qwen 3.5 35B A3B | 64.6 |
| 7 | Gemma 3 12B (IT) | 50 |
| 8 | Gemma 3 27B (IT) | 47.3 |
| 9 | Gemini 3 Flash | 45.5 |
| 10 | Qwen 2.5 VL 32B Instruct | 45.5 |
| 11 | GPT-4o | 28.2 |
| 12 | GPT-4.1 | 22.7 |
Interactive version: theaggregate.ai/benchmark?slug=dicobench-instance-commonality · How It Works · Data refreshed daily, snapshot 2026-09-29.