M3-AD-Bench - Anomaly Type F1: leaderboard

Metric: Anomaly-type hard micro-F1 (0-1, times 100): a predicted anomaly type counts only when it matches the annotated fine-grained type of M3-AD's hierarchical taxonomy above a matching threshold, averaged over the Texture, Workpiece and Electronic scenes, zero-shot on M3-AD-Bench, the evaluation split of M3-AD (industrial images re-annotated from public anomaly-detection datasets under one taxonomy; its categories are held out from the M3-AD-FT training split), one structured answer per image; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash Lite44.4#413
2Qwen 3 VL 32B Instruct36.8#276
3Qwen 3 VL 4B (Thinking)34.9#471 (Qwen 3 VL 4B)
4Qwen 3 VL 8B (Thinking)34.2
5Qwen 3 VL 4B Instruct32.6#506
6Qwen 3 VL 8B Instruct27.1#401
7Qwen 2.5 VL 72B Instruct25.5#364
8Qwen 2.5 VL 7B Instruct22.5#643
9Qwen 2 VL 7B Instruct16.9#816

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=m3-ad-bench-anomaly-type-f1 · How It Works · Data refreshed daily, snapshot 2026-10-11.