MMR-AD - MVTec AD Localization: leaderboard
Metric: Anomaly localization accuracy (%) on MVTec AD 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 January 2027. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 41.8 |
| 2 | Gemini 2.5 Pro | 34.4 |
| 3 | O4 Mini | 34.4 |
| 4 | Llama 4 Maverick | 19.9 |
| 5 | Qwen 2.5 VL 7B | 8.9 |
| 6 | GPT-4o | 8.1 |
| 7 | InternVL3-38B | 6.3 |
| 8 | InternVL3-8B | 5.5 |
| 9 | Gemma 3 27B | 4 |
Interactive version: theaggregate.ai/benchmark?slug=mmr-ad-mvtec-ad-localization · How It Works · Data refreshed daily, snapshot 2026-10-07.