AirGroundBench - Viewpoint Reasoning: leaderboard
AirGroundBench probes spatial intelligence for heterogeneous air-ground (UAV plus UGV) embodied collaboration, with nine multiple-choice VQA tasks in four capability dimensions plus a vision-language navigation task, evaluated zero-shot under synchronized dual views. This board reports Accuracy (%) on the viewpoint spatial-reasoning VQA task; higher is better.
Metric: Accuracy (%) on the viewpoint spatial-reasoning VQA task; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 397B A17B | 48.35 | #246 |
| 2 | Seed 2.0 Pro | 44 | #211 |
| 3 | Qwen 3.5 27B | 43.69 | #359 |
| 4 | Qwen 3.5 Plus | 41.18 | #232 |
| 5 | Claude Sonnet 4.6 | 39.08 | #161 |
| 6 | Kimi K2.5 | 38.24 | #256 |
| 7 | GPT-5.2 | 29.41 | #176 |
| 8 | GLM-4.6V | 26.73 | #701 |
| 9 | ERNIE 5.0 | 24.3 | #456 |
| 10 | Qwen 3 VL 235B A22B | 24.15 | #479 |
| 11 | Gemini 3.1 Pro (Preview) | 22.4 | #94 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=airgroundbench-viewpoint-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-13.