DefectBench (Building Facades) - Material Loss Counting Error: leaderboard
Metric: Mean absolute error of the model's count of material-loss 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GLM-4.6V | 0.44 | #309 |
| 2 | GLM-4.5V | 0.46 | #339 |
| 3 | Qwen 3 VL 32B (Thinking) | 0.48 | #287 (Qwen 3 VL 32B) |
| 4 | GPT-5.2 Pro | 0.51 | #57 |
| 5 | Qwen 2.5 VL 72B Instruct | 0.52 | #364 |
| 6 | Qwen 3 VL 8B Instruct | 0.53 | #401 |
| 7 | Gemini 3 Pro (Preview) | 0.6 | #64 |
| 8 | Seed 1.8 | 0.63 | #136 |
| 9 | Qwen 2.5 VL 32B Instruct | 0.64 | #443 |
| 10 | GPT-4o | 0.72 | #333 |
| 11 | Gemini 3 Flash (Preview) | 0.73 | #78 |
| 12 | Claude Opus 4.1 | 0.77 | #132 |
| 13 | Qwen 3 VL 32B Instruct | 0.84 | #276 |
| 14 | Qwen 2.5 VL 7B Instruct | 0.84 | #643 |
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-material-loss-counting-error · How It Works · Data refreshed daily, snapshot 2026-10-11.