EgoPoint-Bench - Simulation Spatial Context: leaderboard
Metric: Accuracy (%) on the Spatial Context questions among the 1,929 held-out simulation test questions (HM3D, HSSD and AI2-THOR scenes); zero-shot (direct inference); true/false and single-choice questions by exact match, open-ended answers scored 0 to 1 by a GPT-4o judge; greedy decoding for open models, temperature 0 for API models; higher is better. Source: arxiv.org. Saturation forecast: Around December 2027. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro | 70.47 |
| 2 | Qwen 3 VL 8B Instruct | 70.34 |
| 3 | GPT-5 Mini | 67.65 |
| 4 | Gemini 3 Flash | 66.58 |
| 5 | GPT-5.2 Instant | 66.14 |
| 6 | Qwen 3 VL 32B Instruct | 65.64 |
Interactive version: theaggregate.ai/benchmark?slug=egopoint-bench-simulation-spatial-context · How It Works · Data refreshed daily, snapshot 2026-10-07.