MMR-AD - MVTec 3D-AD Detection: leaderboard
Metric: Anomaly detection accuracy (%): share of MVTec 3D-AD 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: Around January 2027. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-38B | 75.9 |
| 2 | Gemini 2.5 Pro | 75.7 |
| 3 | InternVL3-8B | 75.5 |
| 4 | GPT-5 | 75 |
| 5 | O4 Mini | 74.1 |
| 6 | GPT-4o | 67.8 |
| 7 | Llama 4 Maverick | 67.1 |
| 8 | Qwen 2.5 VL 7B | 59.9 |
Interactive version: theaggregate.ai/benchmark?slug=mmr-ad-mvtec-3d-ad-detection · How It Works · Data refreshed daily, snapshot 2026-10-07.