DriveSpatial-mini - Understanding: leaderboard
Metric: Accuracy (%) on the multiple-choice spatial-understanding tasks (relations across viewpoints) on DriveSpatial-mini (a stratified 1,000-question subset, 50 per task), where the paper evaluates the proprietary VLMs and humans; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 3 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 62.45 |
| 2 | GPT-4o | 59.84 |
Interactive version: theaggregate.ai/benchmark?slug=drivespatial-mini-understanding · How It Works · Data refreshed daily, snapshot 2026-10-07.