Metric-Bench - Position: leaderboard
Metric: Mean relative accuracy (%; object-position questions; 1,340 template questions over ScanNetV2 indoor test scenes, each giving the real metric values of reference objects and asking for a target object's metric in camera coordinates; zero-shot; mean relative accuracy over thresholds 0.50-0.95; GPT-5-mini and Gemini-2.5-flash on a random 400-question subset). Source: arxiv.org. Saturation forecast: Around June 2028. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini | 33.06 |
| 2 | Gemini 2.5 Flash | 31.96 |
| 3 | Qwen 3 VL 8B | 31.93 |
| 4 | Qwen 2.5 VL 32B Instruct | 24.93 |
| 5 | Qwen 2.5 VL 7B Instruct | 23.66 |
Interactive version: theaggregate.ai/benchmark?slug=metric-bench-position · How It Works · Data refreshed daily, snapshot 2026-09-26.