Obshazard-bench: leaderboard
Metric: Normalized task score (%; x100 of the 0-1 task-aware soft score following the Earth AI protocol: categorical answers by semantic or lexical consistency, numeric and interval answers by distance to the ground truth; equal-weight aggregation across timesteps, subtasks, lifecycle stages and disaster categories; zero-shot, uniform prompts; raw satellite sounding streams with ground-station, disaster-record and socio-economic inputs; average of the three lifecycle stages over 4,202 VQA samples from 127 historical extreme events in 8 disaster categories). Source: arxiv.org. Saturation forecast: Around 2028. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 28.33 |
| 2 | Kimi K2.6 | 25.06 |
| 3 | Claude Opus 4.8 | 24.24 |
| 4 | Qwen 3.5 397B A17B | 19.22 |
Interactive version: theaggregate.ai/benchmark?slug=obshazard-bench · How It Works · Data refreshed daily, snapshot 2026-09-26.