MMR-AD - VisA Localization: leaderboard
Metric: Anomaly localization accuracy (%) on VisA test images (from MMR-AD): a predicted anomaly box counts as correct at IoU of at least 0.1 with an annotated anomalous region, zero-shot, the model sees a spatially aligned normal reference image and the test image with the MMR-AD instruction template; dataset-level average over the subdataset's product classes; higher is better. Source: arxiv.org. Saturation forecast: Around September 2027. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 18.5 |
| 2 | O4 Mini | 12.3 |
| 3 | Gemini 2.5 Pro | 10.5 |
| 4 | Llama 4 Maverick | 6.7 |
| 5 | GPT-4o | 3.7 |
| 6 | InternVL3-8B | 2.9 |
| 7 | InternVL3-38B | 2.2 |
| 8 | Qwen 2.5 VL 7B | 2.2 |
| 9 | Gemma 3 27B | 0.5 |
Interactive version: theaggregate.ai/benchmark?slug=mmr-ad-visa-localization · How It Works · Data refreshed daily, snapshot 2026-10-07.