
HappyHorse 1.0
Open-source 15B video model that topped the Artificial Analysis leaderboards in April 2026.
About
Debuted April 7, 2026 (appearing anonymously on the Artificial Analysis Video Arena on April 8), HappyHorse 1.0 is Alibaba's state-of-the-art AI video model built by the Future Life Lab at Taotian Group, led by Zhang Di — the former Kuaishou VP behind Kling AI. It instantly claimed #1 in both text-to-video (1333 Elo) and image-to-video (1392 Elo), dethroning ByteDance's Seedance 2.0. It is a ~15B-parameter single-stream 40-layer Transformer (no cross-attention, Transfusion-style) that jointly generates video and synchronized audio — dialogue, ambient sound, lip-sync — in a single forward pass, with native 1080p output and ~10-second generation times. The open-source release includes the base model, a distilled faster variant, a super-resolution module, and full inference code.
Limitations: clips are short (5–10 seconds per generation); 4K requires the super-resolution module rather than native generation. As a 15B model it needs serious GPU memory for self-hosting despite the open weights. Third-party API access (e.g. via MuAPI wrappers) adds cost and dependency versus running the weights yourself.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Artificial Analysis: 1333 Elo T2V, 1392 Elo I2V (#1 at launch, April 2026)
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 56; Trending score 90/100 from researcher assessment.