Alibaba releases HappyHorse — an open-source AI video generator that surpassed ByteDance’s Seedance

Alibaba has released HappyHorse-1.0, a fully open video generation model that outperformed ByteDance’s Seedance 2.0 on Artificial Analysis. For the first time, an open-source solution holds the top spot in the global video generation ranking. The model weights are publicly available, enabling self-hosted deployment, fine-tuning for specific tasks, and independence from third-party pricing.

AI-processed from 3DNews AI; edited by Hamidun News
Alibaba releases HappyHorse — an open-source AI video generator that surpassed ByteDance’s Seedance
Source: 3DNews AI. Collage: Hamidun News.
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Key metric #1Open weights — deployment on your own servers without dependence on external APIs
Fine-tuning for specific verticalsadvertising videos, animation, educational content, synthetic datasets
Key metric #3No quotas and no sudden pricing policy changes

What is HappyHorse

HappyHorse-1.0 is a fully open model for generating video content from text prompts or images. Alibaba made it available for public download, independent deployment, and fine-tuning without licensing restrictions or paid subscriptions. This fundamentally distinguishes HappyHorse from most top competitors. Runway Gen-3, OpenAI's Sora, Google's Veo 3, and Kuaishou's Kling all work exclusively through closed APIs with monthly payment. Developers depend on vendor pricing decisions, quotas, and service availability in their region.

The evaluation was conducted by Artificial Analysis — an independent platform that systematically tests AI models against standardized criteria. In the video generation category, image quality, motion consistency, physical realism, and prompt adherence accuracy are evaluated. Based on overall results, HappyHorse-1.0 surpassed Seedance 2.0 — ByteDance's model that had held the top position for several months in a row.

What an open top-tier model changes

Until now, open video models noticeably lagged behind commercial systems. Professional-level generation was practically equated with a paid subscription to a service: companies chose between data control and output quality. HappyHorse breaks this compromise:

  • Open weights — deployment on your own servers without dependence on external APIs
  • Fine-tuning for specific verticals: advertising videos, animation, educational content, synthetic datasets
  • No quotas and no sudden pricing policy changes
  • Works in regions where Western and Chinese services are blocked or restricted
  • A ready-made platform for forks and specialized commercial products

Alibaba and open-source policy

This is not the first time Alibaba has released a competitive open model. The Qwen language series is among the strongest open LLMs in the world, and the company's mathematics and code models regularly rank at the top of open benchmarks. Alibaba systematically uses open-source as a tool for global expansion.

The logic of the strategy is transparent: open models attract a broad ecosystem of developers — from startups to enterprise teams. As a result, many of them turn to Alibaba Cloud for industrial-scale deployment. The reputation of strong open models converts into corporate contracts for cloud infrastructure.

The Asian market is particularly important, as are regions where companies seek to avoid dependence on American or European AI platforms. HappyHorse fits perfectly into this demand.

Video generation race is not slowing down

2025 has been a record year for releases of new video models. Kling 2.0, Runway Gen-3 Alpha, Pika 2.2, Sora, Veo 3 with native sound generation — new generations come out every few months. Against this backdrop, ByteDance with Seedance 2.0 held the top positions in open rankings. HappyHorse-1.0 became the first open contender to truly challenge this leadership.

What this means

An open video model at the "top market" level changes the structure of the industry. AI video production is moving out of the "expensive SaaS" category into the "accessible infrastructure" category. For agencies, studios, and developers, this means a new level of control over the cost and quality of video content generation.

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Key Questions Answered

What is HappyHorse?

HappyHorse-1.0 is a fully open model for generating video content from text prompts or images. Alibaba made it available for public download, independent deployment, and fine-tuning without licensing restrictions or paid subscriptions. This fundamentally distinguishes HappyHorse from most top competitors. Runway Gen-3, OpenAI's Sora, Google's Veo 3, and Kuaishou's Kling all work exclusively through closed APIs with monthly payment. Developers depend on vendor pricing decisions, quotas, and service availability in their region. The evaluation was conducted by Artificial Anal

What an open top-tier model changes?

Until now, open video models noticeably lagged behind commercial systems. Professional-level generation was practically equated with a paid subscription to a service: companies chose between data control and output quality. HappyHorse breaks this compromise: Open weights — deployment on your own servers without dependence on external APIs Fine-tuning for specific verticals: advertising videos, animation, educational content, synthetic datasets No quotas and no sudden pricing policy changes Works in regions where Western and Chinese services are blocked or restricted A ready

What are the key details on Alibaba and open-source policy?

This is not the first time Alibaba has released a competitive open model. The Qwen language series is among the strongest open LLMs in the world, and the company's mathematics and code models regularly rank at the top of open benchmarks. Alibaba systematically uses open-source as a tool for global expansion. The logic of the strategy is transparent: open models attract a broad ecosystem of developers — from startups to enterprise teams. As a result, many of them turn to Alibaba Cloud for industrial-scale deployment. The reputation of strong open models converts into corpora

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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