Decision support
HappyHorse 1.0 vs Ray3.2
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
Luma AI
Benchmark results
Arena Text to Video
Arena rating · Higher is better
- HappyHorse 1.01429Arena #12CI 1416 to 1441
- Ray3.2Not reported
Runs and sources
HappyHorse 1.0- default142995% CI 1416 to 1441 · 22,896 votes
Ray3.2Not reported
Arena Image to Video
Arena rating · Higher is better
- HappyHorse 1.01443Arena #12CI 1433 to 1453
- Ray3.2Not reported
Runs and sources
HappyHorse 1.0- default144395% CI 1433 to 1453 · 73,331 votes
Ray3.2Not reported
Arena Video Edit
Arena rating · Higher is better
- HappyHorse 1.01306Arena #8CI 1292 to 1319
- Ray3.2Not reported
Runs and sources
HappyHorse 1.0- default130695% CI 1292 to 1319 · 3,253 votes
Ray3.2Not reported
Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.
Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.
Model specifications
API pricing · USD per 1M tokens
Capabilities and modalities
Architecture and availability
A dash means the field is not reported. Provider-specific performance and pricing may differ.