CVSBench - FOV Satellite-to-Ground: leaderboard
Metric: Accuracy (%) on FOV-subset satellite-to-ground questions (limited field-of-view street images); four-choice and binary-choice questions over paired street-view and satellite images (Gemini-2.5-flash-generated, human-verified), test split; higher is better. Source: arxiv.org. Saturation forecast: Around 2032. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Chat | 54.1 |
| 2 | Gemma 3 4B (IT) | 47.99 |
| 3 | GPT-4o | 46.8 |
| 4 | Qwen 3 VL 8B Instruct | 46.7 |
| 5 | Qwen 3 VL 4B Instruct | 44.2 |
| 6 | InternVL3.5-8B | 41.5 |
| 7 | DeepSeek V3.2 | 38.68 |
Interactive version: theaggregate.ai/benchmark?slug=cvsbench-fov-satellite-to-ground · How It Works · Data refreshed daily, snapshot 2026-09-29.