DisasterBench (UAV) - Loss and Situation Assessment: leaderboard

DisasterBench (2026, UAV disaster response) is a multiple-choice reasoning benchmark over low-altitude drone images of 14 disaster-related scene types, covering tasks before, during and after a disaster. This board is exact-match accuracy (%) on the loss and situation assessment questions of the test split; higher is better.

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 February 2027. 21 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro87.06#266
2GPT-587.06#167
3Claude Sonnet 4.582.28#250
4Grok 481.15#307
5Gemini 2.5 Flash77.64#453
6GPT-4o76.37#741
7Gemini 2.0 Flash71.17#704
8Qwen 2.5 VL 7B Instruct63.29#1833
9GPT-4o Mini55.27#1623
10InternVL2-8B53.87#2988

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

Interactive version: theaggregate.ai/benchmark?slug=disasterbench-uav-loss-and-situation-assessment · How It Works · Data refreshed daily, snapshot 2026-11-13.