UAV-DualCog - Landmark-Driven Action Decision: leaderboard

UAV-DualCog (2026) evaluates multimodal LLMs on self-state and environment-state reasoning of a UAV in simulated aerial scenes, with structured answers in instant mode. This board asks which way the UAV should move to approach a target landmark; answer accuracy over 1,024 items in percent, higher is better.

Metric: Answer accuracy (%; 1,024 questions asking which way the UAV should move to approach a target landmark; structured JSON answers on renders of simulated AerialVLN scenes, the discrete answer scored whatever the predicted box or interval; instant mode with explicit thinking disabled where a model allows it; higher is better). Source: arxiv.org. Saturation forecast: Not forecast. 36 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.3 Instant62.3#130
2Claude Sonnet 4.661#161
3Qwen 3.5 35B A3B (Non-reasoning)57.5#482 (Qwen 3.5 35B A3B)
4GPT-5.5 (Non-reasoning)53.6#49 (GPT-5.5)
5Qwen 3.5 9B (Non-reasoning)52.2#803 (Qwen 3.5 9B)
6Qwen 3.5 27B (Non-reasoning)50.6#359 (Qwen 3.5 27B)
7MiMo-V2.5 (Non-reasoning)49.7#354 (MiMo-V2.5)
8Qwen 3.5 122B A10B (Non-reasoning)49#331 (Qwen 3.5 122B A10B)
9Qwen 3.5 4B (Non-reasoning)47.5#1175 (Qwen 3.5 4B)
10Qwen 3.5 397B A17B (Non-reasoning)46.2#246 (Qwen 3.5 397B A17B)
11GLM-4.6V (Non-reasoning)44.2#701 (GLM-4.6V)
12Qwen 3.7 Plus (Non-reasoning)43.4#207 (Qwen 3.7 Plus)
13Qwen 3.6 Plus (Non-reasoning)42.5#222 (Qwen 3.6 Plus)
14GPT-5.4 (Non-reasoning)36#123 (GPT-5.4)
15Gemini 3.1 Flash Lite (Non-reasoning)35.9#364 (Gemini 3.1 Flash Lite)

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

Interactive version: theaggregate.ai/benchmark?slug=uav-dualcog-landmark-driven-action-decision · How It Works · Data refreshed daily, snapshot 2026-11-13.