Embodied-BenchClaw Aerial-Bench - Multi Choice: leaderboard

Aerial-Bench (2026) is a UAV and aerial-view spatial understanding benchmark built automatically by the Embodied-BenchClaw multi-agent system, covering object recognition, counting, image-plane relations, area and scale comparison and depth-based reasoning. This board is the score in percent on multi-choice selection questions that require every correct target; higher is better.

Metric: Score (%) on multi-choice selection questions that require choosing every correct visible target; questions over aerial and UAV images from the 5,000-question benchmark built by the Embodied-BenchClaw pipeline (object and category recognition, counting with interval choices, image-plane spatial relations, visible-area and scale comparison, depth-based near-far reasoning), vision-language setting; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 14 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.163#495
2Kimi K2.556.5#256
3Claude Opus 4.756#79
4Claude Sonnet 4.655#161
5Qwen 3.6 27B55#341
6Grok 4.20 0309 (Reasoning)54.5#230 (Grok 4.20 0309)
7GPT-5.554#49
8Gemini 3 Pro (Preview)54#113
9GPT-5.253#176
10Qwen 3.6 35B A3B53#462
11Claude Haiku 4.5 (20251001)43.5#536

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

Interactive version: theaggregate.ai/benchmark?slug=embodied-benchclaw-aerial-bench-multi-choice · How It Works · Data refreshed daily, snapshot 2026-11-13.