AirGroundBench - Navigation SPL: 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 weighted by path length (%); higher is better.

Metric: Vision-language navigation success weighted by path length (%); higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 13 models tracked.

Top models

#ModelScoreOverall rank
1Seed 2.0 Pro31.45#211
2ERNIE 5.025.32#456
3Qwen 3 VL 235B A22B23.8#479
4Gemini 3.1 Pro (Preview)22.87#94
5Qwen 3.5 27B22.68#359
6Claude Sonnet 4.620.8#161
7GPT-5.219.99#176
8Kimi K2.519.75#256
9Qwen 3.5 Plus16.34#232
10Qwen 3.5 397B A17B15.79#246
11GLM-4.6V15.58#701

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-spl · How It Works · Data refreshed daily, snapshot 2026-11-13.