AirGroundBench - Navigation Success Rate: 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 Vision-language navigation success rate (%) in the closed-loop dual-view setting; higher is better.

Metric: Vision-language navigation success rate (%) in the closed-loop dual-view setting; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 13 models tracked.

Top models

#ModelScoreOverall rank
1Seed 2.0 Pro38.71#211
2ERNIE 5.032.26#456
3Qwen 3 VL 235B A22B29.39#479
4Qwen 3.5 27B28.78#359
5Claude Sonnet 4.626.69#161
6Gemini 3.1 Pro (Preview)26.32#94
7Kimi K2.525.85#256
8GPT-5.225.22#176
9GLM-4.6V19.25#701
10Qwen 3.5 397B A17B19.09#246
11Qwen 3.5 Plus19.02#232

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

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