AirGroundBench - Scale 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 scale-alignment VQA task; higher is better.

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

Top models

#ModelScoreOverall rank
1Qwen 3.5 Plus59.57#232
2Seed 2.0 Pro56.12#211
3Qwen 3.5 397B A17B53.24#246
4Gemini 3.1 Pro (Preview)49.68#94
5Qwen 3.5 27B49.64#359
6Claude Sonnet 4.648.92#161
7Kimi K2.548.23#256
8Qwen 3 VL 235B A22B45.32#479
9GPT-5.244.6#176
10GLM-4.6V44.6#701
11ERNIE 5.038.67#456

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

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