ContrAR (Multiple Frames) - Outdoor Navigation: leaderboard
Metric: Detection accuracy (%) for contradictory virtual content attacks in AR videos (60 outdoor navigation videos; half the videos carry a contradiction, a balanced yes/no decision), first, middle and last frames given (multi-frame prompting); mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4o | 90 |
| 2 | GPT-5 | 88.33 |
| 3 | GPT-4.1 | 85 |
| 4 | Gemini 2.5 Pro | 81.67 |
| 5 | Gemini 2.5 Flash | 76.67 |
| 6 | Qwen 2.5 VL 72B Instruct | 76.67 |
| 7 | Claude Sonnet 4.5 | 71.67 |
| 8 | Grok 4 | 70 |
| 9 | Qwen 2.5 VL 7B Instruct | 66.67 |
| 10 | Claude Haiku 4.5 | 58.33 |
Interactive version: theaggregate.ai/benchmark?slug=contrar-multiple-frames-outdoor-navigation · How It Works · Data refreshed daily, snapshot 2026-10-07.