WildFireVQA - Cross-Modal Reasoning: leaderboard
Metric: Accuracy (%) on the 4 cross-modal reasoning question types of the WildFireVQA wildfire-monitoring multiple-choice questions (34 question types, 6,097 aerial frames each, from FLAME drone imagery with sensor-derived labels), RGB image input without retrieved thermal statistics; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 8B Instruct | 57.45 |
| 2 | InternVL2-8B | 31.23 |
Interactive version: theaggregate.ai/benchmark?slug=wildfirevqa-cross-modal-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-07.