OmniTraffic - Multi-View Localization: leaderboard

An OmniTraffic task: multi-view localization (locate a special vehicle across views). OmniTraffic (2026) renders reconstructed real intersections as controllable 3D scenes and adds real roadside footage; accuracy in percent, higher is better.

Metric: Accuracy (%) on multi-view localization (locate a special vehicle across views), 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: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro98.9#137
2Gemini 2.5 Pro96.6#266
3Grok 493.2#307
4GPT-4o92#741
5Qwen 3 VL 235B A22B (Thinking)90.9#451
6GPT-5.289.8#176
7Claude Sonnet 4.5 (Thinking)86.4#250 (Claude Sonnet 4.5)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=omnitraffic-multi-view-localization · How It Works · Data refreshed daily, snapshot 2026-11-13.