FilmBench (Text-to-Video): leaderboard
Metric: Overall score (0-100), the equal-weighted mean of the three axes, on 515 text-to-video prompts; prompts reverse-engineered from clips of award-winning films in 20 genres, scored by the authors' expert-grade evaluation agent (Cinematic Language operators plus a judge model) on a three-level cinematic taxonomy, 1-5 per sub-metric mapped to 0-100. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Seedance 2.0 | 88.9 |
| 2 | HappyHorse 1.1 | 87.4 |
| 3 | HappyHorse 1.0 | 87 |
| 4 | Kling 3.0 Omni | 86.1 |
| 5 | Kling 3.0 | 85.8 |
| 6 | Vidu Q3 Pro | 80.9 |
| 7 | Grok Imagine Video | 80.9 |
| 8 | Veo 3.1 | 80.8 |
| 9 | Hailuo 2.3 | 68.9 |
Interactive version: theaggregate.ai/benchmark?slug=filmbench-text-to-video · How It Works · Data refreshed daily, snapshot 2026-09-29.