- HappyHorse
- AI Video
- Review
HappyHorse 1.0 Complete Analysis: How a Chinese AI Video Model Took the #1 Spot
An in-depth analysis of HappyHorse 1.0's technical capabilities behind its Artificial Analysis rankings, including ELO score comparisons, model architecture, and how to get started.
A dark horse has emerged in the AI video generation space.
HappyHorse 1.0, a video generation model, quietly topped the leaderboard on Artificial Analysis’s Video Arena, surpassing ByteDance’s Seedance 2.0 and Kuaishou’s Kling 3.0. The AI community was excited — after all, ranking #1 on this platform isn’t about luck.
The Numbers First: How Did It Perform on Benchmarks?
Data speaks louder than opinions.
Artificial Analysis is a platform that relies on real human blind voting. Users compare two videos without knowing which model generated each, then pick their preference.
As of April 2026, HappyHorse 1.0’s performance across four categories:
| Category | Ranking | ELO Score |
|---|---|---|
| Text-to-Video (No Audio) | #1 | 1360 |
| Text-to-Video (With Audio) | #2 | 1217 |
| Image-to-Video (No Audio) | #1 | 1403 |
| Image-to-Video (With Audio) | #1 | 1159 |
Technical Deep Dive
HappyHorse 1.0 has several notable technical features:
Parameter Scale: 150 billion parameters — definitely top-tier among current video generation models.
Architecture Design: Uses 40-layer single-stream self-attention Transformer.
Audio Capabilities: Supports seven languages with lip-sync WER of 14.60%.
How to Try It
Good news: you can now experience HappyHorse through the official platform.