UAV-DualCog - Future Observation Prediction: leaderboard

Metric: Answer accuracy (%; 1,024 questions asking which view the UAV will see after a candidate action; 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: Around 2031. 36 models tracked.

Top models

#ModelScore
1GPT-5.5 (Non-reasoning)53.4
2Qwen 3.5 122B A10B (Non-reasoning)37.8
3GPT-5.4 (Non-reasoning)37.6
4GPT-5.3 Instant37.3
5Qwen 3.5 27B (Non-reasoning)37.1
6Qwen 3.5 397B A17B (Non-reasoning)35.8
7Qwen 3.7 Plus (Non-reasoning)34.6
8Qwen 3.6 Plus (Non-reasoning)33.5
9Kimi K2.5 (Non-reasoning)32.7
10Kimi K2.6 (Non-reasoning)32.3
11Qwen 3.5 4B (Non-reasoning)30.2
12Gemini 3.1 Flash Lite (Non-reasoning)30.1
13Qwen 3.5 9B (Non-reasoning)29
14Qwen 3.5 Plus (Non-reasoning)29
15Qwen 3.5 35B A3B (Non-reasoning)27.4

Interactive version: theaggregate.ai/benchmark?slug=uav-dualcog-future-observation-prediction · How It Works · Data refreshed daily, snapshot 2026-09-29.