PinpointQA - Fine-Grained Spatial Description: leaderboard
Metric: Fine-grained spatial description score (times 100, micro over QA pairs): a GPT-5.4 judge's 10-point rubric (main location and supporting surface 3, reference objects 2, relations 2, distances 2, clarity 1) divided by 10, of the PinpointQA evaluation split (2,019 QA pairs from held-out ScanNet++ and ScanNet200 scenes; 64 uniformly sampled RGB frames per indoor video, no depth or 3D input, greedy decoding); higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2.5 | 32 |
| 2 | GPT-5.4 | 31 |
| 3 | Qwen 3 VL 8B Instruct | 28 |
Interactive version: theaggregate.ai/benchmark?slug=pinpointqa-fine-grained-spatial-description · How It Works · Data refreshed daily, snapshot 2026-10-07.