CCTVBench (Video-Level Batch) - Balanced Accuracy: leaderboard
Metric: Balanced accuracy (%) over all binary video-question instances of CCTVBench's 305 contrastive traffic scenes (a real accident video paired with a world-model-generated counterfactual video) and 1,776 pairs of mutually exclusive yes/no hypothesis questions (7,104 binary instances), single-word Yes/No answers at temperature 0, all of a video's questions in one video-level batch request, each answer parsed separately (the paper's protocol for proprietary APIs); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 Mini | 70.43 |
| 2 | Gemini 2.5 Flash Lite | 70.37 |
| 3 | Gemini 2.5 Flash | 69.66 |
| 4 | GPT-5 Nano | 57.46 |
Interactive version: theaggregate.ai/benchmark?slug=cctvbench-video-level-batch-balanced-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-07.