DefectBench (Building Facades) - Crack Counting Error: leaderboard

Metric: Mean absolute error of the model's count of crack 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 3 VL 8B Instruct0.62#401
2GLM-4.6V0.73#309
3GLM-4.5V0.75#339
4Qwen 2.5 VL 72B Instruct0.86#364
5Qwen 2.5 VL 32B Instruct0.91#443
6Qwen 3 VL 32B Instruct0.93#276
7Qwen 2.5 VL 7B Instruct0.99#643
8Gemini 3 Pro (Preview)1.02#64
9GPT-5.2 Pro1.04#57
10Claude Opus 4.11.12#132
11GPT-4o1.16#333
12Gemini 3 Flash (Preview)1.16#78
13Qwen 3 VL 32B (Thinking)1.2#287 (Qwen 3 VL 32B)
14Seed 1.81.64#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-crack-counting-error · How It Works · Data refreshed daily, snapshot 2026-10-11.