AirGroundBench: leaderboard
Metric: Average accuracy (%) over the nine multiple-choice VQA tasks under synchronized dual UAV and UGV views; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Seed 2.0 Pro | 57.14 |
| 2 | Qwen 3.5 Plus | 55.42 |
| 3 | Qwen 3.5 397B A17B | 55.11 |
| 4 | Qwen 3.5 27B | 52.7 |
| 5 | Kimi K2.5 | 49.09 |
| 6 | Gemini 3.1 Pro (Preview) | 46.79 |
| 7 | Claude Sonnet 4.6 | 46.16 |
| 8 | GPT-5.2 | 45.89 |
| 9 | GLM-4.6V | 45.76 |
| 10 | ERNIE 5.0 | 44.67 |
| 11 | Qwen 3 VL 235B A22B | 44.32 |
Interactive version: theaggregate.ai/benchmark?slug=airgroundbench · How It Works · Data refreshed daily, snapshot 2026-09-29.