DefectBench (Building Facades) - Spatial Reasoning: leaderboard

Metric: Visual spatial reasoning F1 (0-1, times 100) of the pairwise relations (inclusion, overlapping, adjacency, disjoint) the model states between its detected defects, 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; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)83.9#64
2GPT-5.2 Pro79.65#57
3Claude Opus 4.177.07#132
4Gemini 3 Flash (Preview)69.19#78
5GLM-4.6V68.66#309
6GLM-4.5V66.32#339
7Seed 1.864.89#136
8Qwen 2.5 VL 72B Instruct61.88#364
9GPT-4o58.91#333
10Qwen 3 VL 32B Instruct55.88#276
11Qwen 3 VL 32B (Thinking)47.63#287 (Qwen 3 VL 32B)
12Qwen 2.5 VL 32B Instruct37.08#443
13Qwen 3 VL 8B Instruct28.5#401
14Qwen 2.5 VL 7B Instruct16.42#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-spatial-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-11.