MMR-AD - VisA Detection: leaderboard
Metric: Anomaly detection accuracy (%): share of VisA test images (from MMR-AD) correctly judged normal or anomalous, 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: Not forecast. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O4 Mini | 73 |
| 2 | InternVL3-38B | 71.7 |
| 3 | InternVL3-8B | 71.5 |
| 4 | Qwen 2.5 VL 7B | 65.9 |
| 5 | GPT-5 | 65.8 |
| 6 | Gemini 2.5 Pro | 65.7 |
| 7 | Llama 4 Maverick | 63.8 |
| 8 | GPT-4o | 57.6 |
Interactive version: theaggregate.ai/benchmark?slug=mmr-ad-visa-detection · How It Works · Data refreshed daily, snapshot 2026-10-07.