Meta just crashed the text-to-video party, and it showed up dressed to compete. The company’s Muse Video model landed at rank three on arena.ai’s Text-to-Video Arena leaderboard with an Elo-style score of 1459 ±15, based on 2,152 community votes. For a model that was only announced on July 7, that’s a remarkably strong debut in a field where Google and ByteDance have been setting the pace.
The ranking puts Muse Video behind Google’s gemini-omni-flash, which holds the top spot at 1527, and ByteDance’s dreamina-seedance-2.0-720p at 1482. It ranks ahead of Alibaba’s happyhorse-1.0, meaning three of the top four text-to-video models now belong to trillion-dollar tech companies.
How the rankings actually work
Arena.ai’s leaderboard runs on blind community votes. Users are shown outputs from different models without knowing which model produced what, then pick which result they prefer. The platform has accumulated over 479,075 total votes across models in its Text-to-Video section. That sample size gives the Elo-style rankings meaningful statistical weight.
What makes Muse Video different
