AeroGround - Relative Orientation Determination: leaderboard

AeroGround (2026) tests vision-language models on paired UAV and ground-level views of simulated open environments. Exact-match accuracy in percent on closed-form questions; higher is better. The model selects the egocentric quadrant of a direction relative to the facing direction of the ground agent.

Metric: Accuracy (%; Spatial Understanding: select the egocentric quadrant of a direction relative to the ground agent; aerial-ground collaborative questions from paired simulated UAV and ground views, exact-match scoring of the parsed option or mapping, invalid output scored wrong; one deterministic run). Source: arxiv.org. Saturation forecast: Around July 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1Seed 2.0 Pro43.3#209
2Gemini 3.1 Pro (Preview)30#91
3GPT-5.430#121
4Qwen 3 VL 8B Instruct27.8#982
5Qwen 3 VL 32B Instruct18.9#582
6Kimi K2.511.1#252
7Qwen 3 VL 32B (Thinking)11.1#557
8Qwen 3 VL 8B (Thinking)7.8#887

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

Interactive version: theaggregate.ai/benchmark?slug=aeroground-relative-orientation-determination · How It Works · Data refreshed daily, snapshot 2026-11-12.