FluVid (Video Input): leaderboard
Metric: Spearman rank correlation (SRCC, -1 to 1) between the model's predicted fluency score and the human mean opinion score (1 to 5) of the FluVid videos (real-world clips from SSv2 and five user-generated video-quality datasets, rated by 20 trained annotators for perceptual fluency, the smoothness of motion and playback), zero-shot: the model is asked 'How would you rate the fluency of this video?' and its probabilities over the words bad, poor, fair, good and excellent are turned into a 1-5 score, with the video given as frames at each model's default frame count or rate; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 2.5 VL 7B | 0.6 | #627 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=fluvid-video-input · How It Works · Data refreshed daily, snapshot 2026-10-11.