On 2026-04-07 a brand-new model called HappyHorse-1.0 appeared on the Artificial Analysis leaderboards and immediately took the top spot on both text-to-video and image-to-video — and has held #1 ever since. Current scores: T2V Elo 1,389 (+115 over Seedance 2.0) and I2V Elo 1,416 (+58 over Seedance 2.0).
The developer is now officially listed as Alibaba-ATH on the leaderboard itself. Multiple Chinese media outlets confirmed the team: Alibaba's ATH (AI Technology & HappyHorse) unit, led by Zhang Di — the ex-Kuaishou VP who built Kling 1.0 and 2.0 — who returned to Alibaba in November 2025. The team officially launched on 2026-04-10. Data verified 2026-04-10 from artificialanalysis.ai.
🐎 Unofficial / informational site. Not affiliated with the developer of HappyHorse-1.0.
Every figure on this page is read from a single config file with a verified-on date — when the leaderboard updates, this whole site catches up with one commit. Data verified 2026-04-10 against artificialanalysis.ai.
Text-to-Video Elo (+115 over Seedance 2.0, the runner-up)
Image-to-Video Elo (+58 over Seedance 2.0, the runner-up)
Rank on both Artificial Analysis boards · 2026-04-10
Source: artificialanalysis.ai · Data verified 2026-04-10 · Higher Elo is better.
Elo 1,389 · Developer: Alibaba-ATH · Leads by +115
Elo 1,274 · Developer: ByteDance Seed
Elo 1,244 · Developer: Skywork AI
Elo 1,243 · Developer: KlingAI (Kuaishou)
Elo 1,230 · Developer: KlingAI (Kuaishou)
Source: artificialanalysis.ai · Data verified 2026-04-10 · Higher Elo is better.
Elo 1,416 · Developer: Alibaba-ATH · Leads by +58
Elo 1,358 · Developer: ByteDance Seed
Elo 1,333 · Developer: xAI
Elo 1,311 · Developer: PixVerse
Elo 1,300 · Developer: KlingAI (Kuaishou)
Facts about HappyHorse-1.0 that are publicly verifiable. Every line links back to its source.
The Artificial Analysis leaderboard now lists the developer as 'Alibaba-ATH'. Multiple Chinese media also confirmed the team: Alibaba's ATH unit, originating from the Taotian Group (淘天集团) Future Life Lab — the entity behind Taobao and Tmall.
The project is led by Zhang Di, former VP of Technology at Kuaishou and the architect of Kling 1.0 / 2.0. He left Bilibili and returned to Alibaba in November 2025. Source: Sina Finance, Zhidongxi, multiple Chinese outlets.
The team has since been spun out of Taotian Group into an independent company structure. Source: multiple Chinese media reports, April 2026.
The team announced an official public launch on 2026-04-10. Source: 163.com exclusive report, Sina Finance.
Ranked #1 on the Artificial Analysis text-to-video board with Elo 1,389, leading by +115 points over Seedance 2.0. Source: artificialanalysis.ai, verified 2026-04-10.
Ranked #1 on the Artificial Analysis image-to-video board with Elo 1,416, leading by +58 points over Seedance 2.0. Source: artificialanalysis.ai, verified 2026-04-10.
First appeared on both Artificial Analysis boards on 2026-04-07. Source: artificialanalysis.ai 'added in the last month' section.
API listed as 'Coming soon' on artificialanalysis.ai. No public endpoint exists yet. We will update the moment it does.
The developer identity is now confirmed, but many technical details remain unverified by an official source. Sites that confidently quote specs are repeating community estimates, not official documentation.
Community sources widely report 15B parameters, a 40-layer Transformer processing text/image/video/audio tokens in one sequence, and 8-step DMD-2 distillation. However, the developer has published no technical paper or official spec sheet. We won't treat community reports as official facts.
1080p video in ~38 seconds on a single H100 is widely cited, but this figure has no official source. Treat as unconfirmed until the team publishes a spec.
Multiple sources claim the model generates synchronized audio and video in one pass and supports multilingual lip-sync. Not yet confirmed by an official technical report.
Composition, source, and licensing of training data are not disclosed.
Widely reported as open-source with all weights to be released. As of 2026-04-10 no weights are publicly available and both GitHub and Model Hub links show 'coming soon'. We will update when released.
No tier structure, per-second cost, or free tier has been disclosed.
URL, auth scheme, rate limits — none of it exists publicly yet.
No paper, blog post, or official technical report has been published as of 2026-04-10.
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