AirGroundBench - Distance Alignment: 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 cross-view distance-alignment VQA task; higher is better.

Metric: Accuracy (%) on the cross-view distance-alignment VQA task; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)72.28#94
2Qwen 3.5 397B A17B71.35#246
3Qwen 3.5 27B69.35#359
4Qwen 3.5 Plus68.52#232
5Seed 2.0 Pro65.13#211
6Qwen 3 VL 235B A22B64.58#479
7Kimi K2.564.16#256
8GLM-4.6V62.45#701
9ERNIE 5.059.62#456
10Claude Sonnet 4.656.39#161
11GPT-5.250.15#176

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=airgroundbench-distance-alignment · How It Works · Data refreshed daily, snapshot 2026-11-13.