Alibaba’s HappyHorse Launches Gray Testing! Topped Third-Party Evaluation Platform Rankings

On April 27, Alibaba officially launched HappyHorse 1.0, its AI video generation tool, entering gray testing phase. Based on currently announced features and real-world testing performance, this product stands out with multiple core highlights and a highly competitive pricing strategy, leading many industry practitioners to believe it has the potential to reshape the AI video tool market landscape.

HappyHorse 1.0 Core Highlights

1. Native Audio-Visual Synchronization

This is one of HappyHorse’s most core technical advantages. While generating video, the system automatically matches audio and character lip movements, currently supporting lip synchronization for seven languages including Mandarin, English, and Japanese. This feature greatly reduces the workload of post-production dubbing and lip alignment, significantly shortening the overall content production cycle.

2. Cinematic Camera Movement Capabilities

HappyHorse understands professional camera language, including common camera movements like pan, tilt, zoom, and dolly. Generated videos are no longer simple static image collages, but dynamic shot compositions with narrative sense, with picture quality and lighting effects reaching high standards, greatly improving the narrative expressiveness of AI-generated videos.

3. Leading Generation Speed

According to measured data, generating a 5-second 1080P HD video only takes about 38 seconds. Compared to similar products that often take several minutes to generate, HappyHorse’s efficiency advantage is obvious, effectively improving content creators’ production efficiency.

Highly Competitive Pricing Strategy

HappyHorse’s pricing plan has significant advantages among similar products:

In addition, new users registering on the official website receive free experience credits (such as 66 points), and Qianwen App users directly receive 10 experience credits, enough to generate multiple 10-second short videos for trial use.

This price range means AI video generation tools are gradually entering the stage of large-scale commercial use, allowing ordinary content creators to afford professional-grade AI video production capabilities.

Ecosystem Integration and Future Outlook

Of course, as a first-generation product, HappyHorse 1.0 also has some details to optimize, such as slightly stiff character hand movements in some scenarios. However, the product is in a rapid iteration phase, and these issues are expected to be gradually resolved in subsequent versions.

Notably, on the first day of product launch, three Agent platforms - Alibaba Wukong, MuleRun, and JVS Claw - already completed HappyHorse integration. For teams with mass video production needs, this means HappyHorse can be directly integrated into automated workflows as a callable capability module, without manual intervention in the generation process of each video.

The launch of HappyHorse is just the beginning of commercial implementation in the AI video field. Whether related Agent platforms can truly transform these technical capabilities into commercial value depends on their stability performance in real production scenarios and continuous iteration capabilities.