Alibaba's Video Generation Model HappyHorse 1.0 Launches Gray Testing

Introduction: Alibaba Enters the AI Video Generation Race

On April 27, according to 36Kr, Alibaba's video generation model HappyHorse 1.0 officially launched gray testing. This represents another major move by Alibaba in the AI video generation space, signaling that the internet giant is accelerating the application of large model technology to commercial content production scenarios.

At a time when AI video generation products such as Sora, Kling, and Vidu are competing fiercely, Alibaba's launch of HappyHorse 1.0 not only showcases its technical expertise in multimodal AI but also sends a clear message — AI video generation is transitioning from the "technology demonstration" phase to the critical stage of "commercial implementation."

Core Capabilities: Native Multimodal Architecture + Joint Audio-Video Generation

The core technical highlight of HappyHorse 1.0 lies in its "native multimodal architecture." Unlike many video generation models that follow a step-by-step approach of generating visuals first and then layering audio on top, HappyHorse 1.0 employs a joint audio-video generation approach. This means the model can simultaneously generate matching audio content while producing video footage, resulting in a more natural and coordinated audiovisual experience.

In terms of application scenarios, HappyHorse 1.0 precisely targets four major commercial content production use cases:

• Advertising Creatives: Helping brands rapidly generate multiple versions of ad materials, reducing creative production costs
• E-commerce Content: Generating product showcase videos, promotional clips, and other marketing materials for merchandise
• Short Drama Production: Assisting short drama creators in quickly producing narrative content
• Social Media Creatives: Providing efficient content production tools for social media operators

Notably, HappyHorse 1.0 is not merely a video generation tool — it offers "integrated creation capabilities from intelligent generation to editing." This means users can not only generate videos through AI but also complete subsequent editing and adjustment operations within the platform, truly enabling a one-stop content creation workflow.

Regarding pricing, HappyHorse 1.0's official website lists rates at 0.9 yuan per second for 720P resolution video and 1.6 yuan per second for 1080P resolution video. This pricing strategy reflects Alibaba's philosophy of "driving product iteration through commercialization," establishing a clear monetization model from the gray testing phase and demonstrating confidence in the product's commercial prospects.

Market Analysis: Competition Intensifies in the AI Video Generation Space

The AI video generation space has entered a fiercely competitive phase. Internationally, while OpenAI's Sora was the first to ignite industry attention, its progress in actual commercial deployment has been relatively slow; Google's Veo, Meta's Movie Gen, and other products are also undergoing continuous iteration. Domestically, Kuaishou's Kling, Shengshu Technology's Vidu, Zhipu's CogVideoX, and ByteDance's Jimeng have already established early positions, with some products having accumulated substantial user bases.

Although Alibaba's launch of HappyHorse 1.0 is not the earliest in terms of timing, its differentiated advantages are quite evident:

First, scenario focus. Unlike many general-purpose video generation tools, HappyHorse 1.0 has anchored itself to commercial content production scenarios such as advertising and e-commerce from the very beginning. This "scenario-driven" product strategy enables it to more precisely meet the practical needs of target users.

Second, ecosystem synergy. Alibaba possesses a vast e-commerce ecosystem including Taobao, Tmall, and 1688, as well as content platforms like Youku. Once HappyHorse 1.0 matures, it can be seamlessly embedded into Alibaba's commercial ecosystem to serve massive numbers of merchants and content creators — an advantage that many independent AI video companies cannot match.

Third, joint audio-video generation. Most AI video generation products on the market still focus primarily on "video-only generation," with audio portions often requiring separate processing. HappyHorse 1.0's joint audio-video generation approach is poised to create differentiated competitiveness in user experience.

However, challenges should not be overlooked. How the product performs during the gray testing phase, whether the quality and stability of generated videos can meet commercial usage standards, and whether the pricing is market-competitive are all key questions that HappyHorse 1.0 must answer in subsequent promotion. At 0.9 yuan per second for 720P video, a 30-second short video would cost 27 yuan. For small and medium-sized merchants with high-frequency content production needs, cost-effectiveness will directly determine their willingness to adopt the tool.

Industry Outlook: AI Video Generation Enters the Deep Waters of Commercialization

From a broader perspective, the launch of Alibaba's HappyHorse 1.0 reflects three major trends currently shaping the AI video generation industry:

Trend One: Shifting from "technology-driven" to "scenario-driven." Early AI video generation products focused more on showcasing technical capabilities, but an increasing number of products are now zeroing in on specific commercial scenarios, striving to deliver genuinely usable business value in particular domains.

Trend Two: Moving from "single-point generation" to "full-workflow coverage." The integrated creation capabilities offered by HappyHorse 1.0 represent the industry's development direction — future AI video tools will need to not only generate content but also cover the entire pipeline including planning, editing, and publishing.

Trend Three: Major tech companies are accelerating their entry, reshaping the competitive landscape. As internet giants such as Alibaba, ByteDance, and Tencent all enter the fray, competition in the AI video generation space will shift from purely technical comparisons to comprehensive contests encompassing technology, ecosystem, scenarios, and commercialization capabilities.

It is foreseeable that 2025 will become a pivotal year for large-scale commercial deployment of AI video generation technology. Whether Alibaba's HappyHorse 1.0 can secure a prominent position in this race through its technical prowess and ecosystem advantages deserves continued attention. For content creators and enterprise users alike, the increasing maturity of AI video generation tools will undoubtedly bring yet another qualitative leap in content production efficiency.