HappyHorse 1.0

#1 ranked AI video model — jointly generates video and audio from text with a unified 15B-parameter Transformer, blazing fast inference, and full open-source release

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What People Are Saying

HappyHorse 1.0 topped the Artificial Analysis leaderboard overnight. Here's what the AI community is saying on X.

老张来了
@laozhang2579

HappyHorse 盲测超越 Seedance 2.0 登顶第一👑 Artificial Analysis 突然冒出一匹黑马,没有官网,没有论文,没有任何公开信息。老张只想问下万能的推友:这是谁的部下如此勇猛?

HappyHorse 1.0 leaderboard
32 180 74K
J
Justine Moore
@venturetwins

A new video model dropped at #1 on the leaderboard 👀 It's called HappyHorse-1.0, and it's currently leading in both text-to-video and image-to-video. From my testing, it's particularly good at multi-shot videos and following detailed directions.

48 361 28K
A
AngryTom
@AngryTomtweets

Did Google just drop Veo 4? A new anonymous video model is currently leading both text-to-video and image-to-video on the Artificial Analysis leaderboards. It's called HappyHorse-1.0, and it's very promising.

12 91 8.5K
K
koltregaskes
@koltregaskes

Is this "Happy Horse" on AA the new Grok Imagine video model? Beating Seedance 2.0 on the leaderboard right now.

HappyHorse 1.0 leaderboard
5 23 4K
B
berryxia
@berryxia

HappyHorse 1.0 全面超越Seedance 2.0 ?这货应该就是阿里马爸爸出的Wan2.7 了!看看是不是真的强!

8 41 10K
A
arsh_goyal
@arsh_goyal

now what is Happy Horse 1.0, better than Seedance 2.0 😮

HappyHorse 1.0 leaderboard
2 8 1.8K
D
DataLearnerAI
@DataLearnerAI

又一个国产的视频生成大模型要登场了?且能超过字节的SeedDance 2.0? ArtificialAnalysis出现了一个神秘的HappyHorse大模型,ELO积分为1336,而排名第二的Dreamina Seedance 2.0积分为1273,差距高达63分。

1 4 1.5K
T
tangchuan_CN
@tangchuan_CN

HappyHorse 全面SOTA seedance2.0的视频生成模型出现在榜单,到底是谁呢?好难猜呀

HappyHorse 1.0 leaderboard
0 1 1K
V
VigoCreativeAI
@VigoCreativeAI

HappyHorse-1.0 这个模型基本可以确定是daVinci-MagiHuman,基本参数对的上!

HappyHorse 1.0 leaderboardHappyHorse 1.0 leaderboard
0 2 260
N
Neuralithic
@Neuralithic

Happy-Horse. A new model that ranks above Seedance 2.0 on Artificial Analysis (more examples below)

1 5 1.8K
CAPABILITIES

One Model. Text, Video & Audio — Unified.

Single-Stream Architecture

40-layer Transformer processes text, video, and audio via self-attention only. No cross-attention, no separate encoders — one unified stream that jointly denoises all modalities.

Human-Centric Quality

Expressive facial performance, natural speech coordination, realistic body motion, and accurate lip sync. Purpose-built for human-centric video generation at the highest fidelity.

Blazing Fast Inference

5-second 256p video in just 2 seconds. 5-second 1080p in 38 seconds on a single H100 — powered by DMD-2 distillation with only 8 denoising steps and no quality loss.

State-of-the-Art Results

80.0% win rate vs Ovi 1.1 and 60.9% vs LTX 2.3 across 2,000 human evaluations. Leads on visual quality, text alignment, and word error rate benchmarks.

Multilingual

Natively supports 6 languages: Chinese, English, Japanese, Korean, German, and French. Multilingual prompts work out of the box with no translation layer.

Fully Open Source

Base model, distilled model, super-resolution model, and inference code — all publicly released. No API gatekeeping, no waitlist.

COMPARISON

HappyHorse 1.0 vs Other Video Models

FeatureHappyHorse 1.0Ovi 1.1LTX 2.3
Visual Quality4.804.734.76
Text Alignment4.184.104.12
Physical Realism4.524.414.56
Word Error Rate14.60%40.45%19.23%
Joint AudioNativeNoNo
Open SourceFullPartialYes
Languages611
Inference (256p)2.0sN/A~5s

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