AirGroundBench - Cross-View Matching: leaderboard
Metric: Accuracy (%) on the cross-view matching VQA task; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Seed 2.0 Pro | 56.83 |
| 2 | ERNIE 5.0 | 50.35 |
| 3 | Gemini 3.1 Pro (Preview) | 50.34 |
| 4 | GPT-5.2 | 47.48 |
| 5 | Qwen 3.5 397B A17B | 46.04 |
| 6 | Qwen 3.5 Plus | 43.84 |
| 7 | Qwen 3.5 27B | 43.17 |
| 8 | Kimi K2.5 | 40 |
| 9 | Qwen 3 VL 235B A22B | 38.13 |
| 10 | GLM-4.6V | 38.03 |
| 11 | Claude Sonnet 4.6 | 28.06 |
Interactive version: theaggregate.ai/benchmark?slug=airgroundbench-cross-view-matching · How It Works · Data refreshed daily, snapshot 2026-09-29.