Overview: HappyHorse 1.0 vs Kling 3.0
The comparison between HappyHorse 1.0 and Kling 3.0 is particularly interesting because of the human connection between them. HappyHorse's lead developer, Zhang Di, was formerly the Vice President of Kuaishou and the technical lead behind the original Kling video model. After leaving Kuaishou for Alibaba's ATH AI unit, Zhang Di built HappyHorse — which now outranks his former creation on the Artificial Analysis leaderboard.
As of April 2026, HappyHorse 1.0 ranks #1 on Artificial Analysis, while Kling 3.0 sits in the top 5. Here is a detailed breakdown of how they compare.
Side-by-Side Comparison
| Feature | HappyHorse 1.0 | Kling 3.0 |
|---|---|---|
| Arena Ranking | #1 (April 2026) | Top 5 |
| Developer | Alibaba ATH AI (Zhang Di) | Kuaishou |
| Lead Developer | Zhang Di (former Kling lead) | Kuaishou AI team |
| Max Resolution | 1080p (native) | 1080p |
| Generation Speed | ~38s (1080p, H100) | Varies by platform |
| Audio Generation | Unified (single pass) | Separate model |
| Multi-Shot Storytelling | Yes | No |
| Aspect Ratios | 16:9, 9:16, 1:1, 4:3 | Multiple |
| Public Availability | Not yet available | Available (Kling.ai) |
| API Access | Not available | Available |
| Open Source | Not announced | Not open source |
Rankings based on Artificial Analysis Video Arena (April 2026).
The Zhang Di Connection
The story of HappyHorse vs Kling is fundamentally a story about Zhang Di (张迪). As VP of Kuaishou, Zhang Di led the development of the original Kling video model, which was one of the most prominent AI video generators in China. His departure from Kuaishou to join Alibaba's ATH AI Innovation Unit was widely reported by SCMP, CNBC, and Bloomberg.
At Alibaba, Zhang Di built HappyHorse 1.0 from the ground up. The model first appeared anonymously on the Artificial Analysis Video Arena on April 7, 2026, and quickly surpassed Kling 3.0 in the rankings. Alibaba confirmed ownership on April 10, 2026.
This talent migration represents a significant shift in China's AI video landscape. Zhang Di's deep experience with video generation at Kuaishou clearly informed HappyHorse's architecture, particularly in areas like motion synthesis and multi-shot storytelling where HappyHorse excels.
Key Differences
1. Unified Audio Generation
HappyHorse 1.0 generates video and audio together in a single unified pass — sound effects, music, and dialogue are naturally synchronized to the visual content. Kling 3.0 generates video only, requiring separate tools for audio.
2. Multi-Shot Storytelling
HappyHorse can maintain character identity across multiple shots for coherent narrative videos. Kling 3.0 does not offer this capability, limiting it to single-shot generation.
3. Availability
Kling 3.0 is publicly available through Kling.ai with API access. HappyHorse 1.0 is not yet publicly available as of April 2026.
4. Quality Ranking
On the Artificial Analysis Video Arena, HappyHorse 1.0 ranks #1 while Kling 3.0 is in the top 5. The ELO gap between them is significant, with HappyHorse leading by a substantial margin in both text-to-video and image-to-video categories.
Which Should You Choose?
Choose Kling 3.0 if:
- You need AI video generation available right now
- You need API access for production integration
- Single-shot generation is sufficient for your use case
- You're already in the Kuaishou/Kling ecosystem
Wait for HappyHorse 1.0 if:
- Unified audio-video generation is essential
- Multi-shot storytelling is a key requirement
- You want the highest-ranked AI video quality
- You can wait for public release
Sources
- Artificial Analysis Video Arena — Live Rankings
- SCMP — Zhang Di departure from Kuaishou to Alibaba ATH AI
- CNBC, Bloomberg — Alibaba AI video model confirmation