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#1 ON ARTIFICIAL ANALYSIS

Happy
Horse#1 Open-Source AI Video Generation Model

The 15B-parameter open-source AI video generation model that topped every leaderboard — text-to-video, image-to-video, and joint audio in one unified transformer.

1332T2V ELO
1391I2V ELO
15BPARAMS
8 StepsNO CFG

HappyHorse-1.0 generated video

SEE IT IN ACTION

AI Video Generation Samples from HappyHorse-1.0

Real outputs demonstrating text-to-video generation quality at 1080p.

ARCHITECTURE

What Makes HappyHorse Different

A unified multimodal transformer purpose-built for joint video and audio generation — no separate models, no post-processing.

Unified Transformer Architecture

40-layer single-stream transformer with 4 modality-specific layers on each end and 32 shared layers. Text, video, and audio tokens processed in one unified sequence — no cross-attention.

Joint Video + Audio Generation

Generates synchronized dialogue, ambient sound, and Foley alongside video frames in a single forward pass. No post-production dubbing pipeline required.

8-Step DMD-2 Distillation

Reduces denoising from 50+ steps to just 8 without classifier-free guidance, accelerated by the in-house MagiCompiler runtime for real-time inference.

Multilingual Lip-Sync

Native support for English, Mandarin, Cantonese, Japanese, Korean, German, and French with industry-leading low Word Error Rate for digital human content.

1080p Cinematic Output

5–8 second clips at full 1080p in standard aspect ratios (16:9, 9:16) — suitable for social media, advertising, and cinematic production.

Open Source & Self-Hostable

Base model, distilled model, super-resolution module, and inference code released with commercial-use permission. Deploy on your own H100 or A100 GPU infrastructure.

AI VIDEO MODEL BENCHMARK

Artificial Analysis Video Arena Rankings

Blind-tested Elo ratings from thousands of human-evaluated comparisons. HappyHorse vs Seedance, Kling, SkyReels, and PixVerse.

#1HappyHorse-1.01332
#2Seedance 2.0 720p1273
#3SkyReels V41245
#4PixVerse V61241
#5Kling 3.0 1080p1241

Data from Artificial Analysis Video Arena · April 2026

AI VIDEO MODEL COMPARISON 2026

HappyHorse vs Every Major Video Model

Comprehensive comparison of open-source and commercial AI video generation models — parameters, capabilities, licensing, and availability.

HappyHorse-1.01332
Unknown15BT2V, I2V, AudioOpen Source
Coming soon
Seedance 2.01273
ByteDanceT2V, I2V, AudioProprietary
No API
SkyReels V41245
Skywork AIT2V, I2VProprietary
$7.20/min
PixVerse V61241
PixVerseT2V, I2VProprietary
$5.40/min
Kling 3.01241
KlingAIT2V, I2VProprietary
$13.44/min
Veo 3.1
GoogleT2V, I2VProprietary
$9.00/min
Sora 2 Pro
OpenAIT2V, I2VProprietary
$24.00/min
WAN 2.5
Alibaba14BT2V, I2VApache 2.0
Self-host
LTX 2.3
Lightricks22BT2V, I2V, AudioApache 2.0
Self-host
Hailuo 2.3
MiniMaxT2V, I2VProprietary
$4.80/min

Data compiled from Artificial Analysis Video Arena, model documentation, and API provider pricing pages. Updated April 2026.

Frequently Asked Questions

What is HappyHorse 1.0?+
HappyHorse 1.0 is a 15-billion parameter open-source AI video generation model that jointly produces video and synchronized audio from text or image prompts. It ranked #1 on the Artificial Analysis Video Arena with an Elo score of 1332 for text-to-video and 1391 for image-to-video.
How does HappyHorse compare to Seedance and Kling?+
HappyHorse 1.0 outperforms Seedance 2.0 (1273 Elo), SkyReels V4 (1245 Elo), PixVerse V6 (1241 Elo), and Kling 3.0 (1241 Elo) on the Artificial Analysis blind-tested leaderboard. It leads in both text-to-video and image-to-video categories.
Is HappyHorse free for commercial use?+
HappyHorse claims to be open source with commercial-use rights, but as of April 2026, the model weights have not been publicly released. The GitHub repository and HuggingFace page exist but contain no downloadable artifacts yet.
What hardware do I need to run HappyHorse?+
HappyHorse 1.0 requires an NVIDIA H100 or A100 GPU with at least 48GB VRAM. A 5-second 1080p clip generates in roughly 38 seconds on H100. FP8 quantization and the 8-step distilled checkpoint reduce memory for single-GPU deployment.
Who built HappyHorse?+
HappyHorse was submitted anonymously to the Artificial Analysis Video Arena. Community research suggests links to Zhang Di (ex-Kuaishou/Kling VP) and the Taotian Group Future Life Lab (Alibaba). The team has not officially confirmed their identity.
When will HappyHorse weights be released?+
No official release date has been confirmed. The HuggingFace organization page (happy-horse) exists with 0 models published. Community sources initially suggested April 10, 2026, but this was not confirmed.