OmniTraffic - Special Event Recognition: leaderboard
Metric: Accuracy (%) on special event recognition (obstructions and accidents that change lane availability), multiple-choice VQA on the 3,204-item human-verified OmniTraffic test set (12 reconstructed simulated intersections plus real roadside surveillance from South Korea and Tianjin), greedy decoding (at most 500 tokens), exact match against the answer letter with up to three attempts for invalid output (still invalid counts as wrong); higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro | 90.8 |
| 2 | Grok 4 | 82.5 |
| 3 | GPT-5.2 | 78.6 |
| 4 | GPT-4o | 78.1 |
| 5 | Qwen 3 VL 235B A22B (Thinking) | 73.6 |
| 6 | Gemini 2.5 Pro | 70.8 |
| 7 | Claude Sonnet 4.5 (Thinking) | 65.6 |
Interactive version: theaggregate.ai/benchmark?slug=omnitraffic-special-event-recognition · How It Works · Data refreshed daily, snapshot 2026-09-29.