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// 45d agoMODEL RELEASE
HappyHorse 1.0 tops video generation leaderboards
Alibaba’s ATH unit has launched HappyHorse 1.0, a 15-billion parameter model that sets a new bar for generative video by co-generating synchronized 1080p video and audio in a single forward pass. Currently leading the Artificial Analysis Video Arena, the model utilizes a unified 40-layer single-stream Transformer architecture to ensure high-fidelity motion and native lip-syncing across multiple languages.
// ANALYSIS
HappyHorse's rise to the top of the leaderboards marks a transition from modular "video-first, audio-later" pipelines to unified multimodal architectures that treat pixels and sound as a single sequence.
- –Uses a unified tokenization strategy for text, image, video, and audio, allowing for unprecedented coherence in synchronized sound effects and dialogue.
- –Outperformed major competitors like ByteDance’s Seedance 2.0 and Kuaishou’s Kling in blind testing on the Artificial Analysis leaderboard.
- –Led by Zhang Di, the visionary behind Kling, signaling Alibaba's aggressive strategy to dominate the high-end generative video market.
- –Includes a distilled 8-step version for faster inference, making 1080p generation viable on H100 infrastructure in under 40 seconds.
// TAGS
happyhorse-1-0video-genaudio-genmultimodaltransformeralibaba
DISCOVERED
45d ago
2026-04-12
PUBLISHED
45d ago
2026-04-12
RELEVANCE
9/ 10
AUTHOR
AI Search