UAVBench - VQA Comparison: leaderboard

Metric: Image VQA accuracy (%) on comparison questions, zero-shot with the authors' task instructions (no fine-tuning on UAVIT-1M), on the UAVBench test unit built from the test split of the integrated detection datasets, low-altitude drone imagery; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash77.91#237
2Qwen 2.5 VL 7B Instruct67.25#643
3MiniCPM-V-2.666.7#825

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=uavbench-vqa-comparison · How It Works · Data refreshed daily, snapshot 2026-10-11.