DisasterBench (UAV) - Emergency Resource Allocation: leaderboard
Metric: Accuracy (%) on emergency resource allocation (ERA) 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: Estimated already saturated. 21 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 97.48 |
| 2 | Gemini 2.5 Pro | 93.28 |
| 3 | Claude Sonnet 4.5 | 93.28 |
| 4 | InternVL2-8B | 92.44 |
| 5 | Qwen 2.5 VL 7B Instruct | 92.44 |
| 6 | Gemini 2.5 Flash | 91.6 |
| 7 | Grok 4 | 89.92 |
| 8 | Gemini 2.0 Flash | 88.24 |
| 9 | InternVL3.5-8B | 88.24 |
| 10 | GPT-4o | 83.19 |
| 11 | GPT-4o Mini | 83.19 |
Interactive version: theaggregate.ai/benchmark?slug=disasterbench-uav-emergency-resource-allocation · How It Works · Data refreshed daily, snapshot 2026-09-29.