AirGroundBench - Object Perception: leaderboard
Metric: Accuracy (%) on the object-perception VQA task; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 | 79.31 |
| 2 | Seed 2.0 Pro | 68.97 |
| 3 | Qwen 3.5 27B | 68.79 |
| 4 | Qwen 3.5 397B A17B | 68.63 |
| 5 | Claude Sonnet 4.6 | 65.52 |
| 6 | Qwen 3.5 Plus | 65.52 |
| 7 | Kimi K2.5 | 58.62 |
| 8 | Qwen 3 VL 235B A22B | 55.54 |
| 9 | GLM-4.6V | 55.17 |
| 10 | ERNIE 5.0 | 55.17 |
| 11 | Gemini 3.1 Pro (Preview) | 44.83 |
Interactive version: theaggregate.ai/benchmark?slug=airgroundbench-object-perception · How It Works · Data refreshed daily, snapshot 2026-09-29.