DisasterBench (UAV) - Loss and Situation Assessment: leaderboard

Metric: Accuracy (%) on loss and situation assessment (LSA) questions on the 3,000-question test split of low-altitude UAV disaster images (14 disaster scene types), multiple choice scored by strict exact match on the final option letter; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 21 models tracked.

Top models

#ModelScore
1Gemini 2.5 Pro87.06
2GPT-587.06
3Claude Sonnet 4.582.28
4Grok 481.15
5Gemini 2.5 Flash77.64
6GPT-4o76.37
7Gemini 2.0 Flash71.17
8InternVL3.5-8B68.64
9Qwen 2.5 VL 7B Instruct63.29
10GPT-4o Mini55.27
11InternVL2-8B53.87

Interactive version: theaggregate.ai/benchmark?slug=disasterbench-uav-loss-and-situation-assessment · How It Works · Data refreshed daily, snapshot 2026-09-29.