DisasterBench (UAV) - Cascading Risk Reasoning: 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 cascading risk reasoning questions of the test split; higher is better.

Metric: Accuracy (%) on cascading risk reasoning (CRR) 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 2.0 Flash81.45#704
2Gemini 2.5 Pro80.32#266
3GPT-580.09#167
4Claude Sonnet 4.576.02#250
5InternVL2-8B72.4#2988
6GPT-4o71.95#741
7Gemini 2.5 Flash71.04#453
8Qwen 2.5 VL 7B Instruct70.14#1833
9Grok 469.68#307
10GPT-4o Mini62.44#1623

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-cascading-risk-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-13.