DefectBench (Building Facades) - Surface Stain Counting Error: leaderboard

Metric: Mean absolute error of the model's count of surface-stain instances per image, on DefectBench's 487 building-facade evaluation images (crack 117, material loss 102, surface stain 134, external fixings 122), zero-shot, JSON answers in one multi-turn dialogue per image; counts follow the model's own identified types; lower is better. Source: arxiv.org. Saturation forecast: Not forecast. 18 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 VL 32B Instruct0.94#443
2Qwen 3 VL 8B Instruct0.95#401
3GLM-4.5V0.98#339
4GLM-4.6V1.01#309
5Qwen 2.5 VL 72B Instruct1.03#364
6Gemini 3 Pro (Preview)1.06#64
7Qwen 3 VL 32B (Thinking)1.09#287 (Qwen 3 VL 32B)
8Qwen 2.5 VL 7B Instruct1.1#643
9Qwen 3 VL 32B Instruct1.15#276
10GPT-5.2 Pro1.22#57
11Claude Opus 4.11.22#132
12Gemini 3 Flash (Preview)1.24#78
13GPT-4o1.34#333
14Seed 1.81.45#136

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

Interactive version: theaggregate.ai/benchmark?slug=defectbench-building-facades-surface-stain-counting-error · How It Works · Data refreshed daily, snapshot 2026-10-11.