Ranked #1 on Artificial Analysis Leaderboard: Does Happy Horse 1.0 Actually Beat Seedance 2.0?
Blog post from Atlas Cloud
In a comprehensive evaluation of AI video models, Alibaba's Happy Horse 1.0 and Bytedance's Seedance 2.0 were compared across six scenarios using Atlas Cloud's One API, revealing both strengths and weaknesses. Happy Horse 1.0, which topped the Artificial Analysis leaderboard with its unified Transformer architecture and multilingual lip-sync capabilities, excelled in visual quality and text faithfulness, making it ideal for single-shot, high-detail scenarios. However, it struggled with semantic-level instructions and narrative coherence in multi-shot and high-instruction-density tasks, areas where Seedance 2.0 demonstrated superior comprehension and execution. The study highlighted the importance of choosing models based on specific use cases, as each model showed distinct advantages: Happy Horse for its visual and multilingual prowess, and Seedance for its narrative and genre-based comprehension. This evaluation, conducted with a standardized methodology, emphasizes the limitations of single-score rankings and the value of a detailed, multi-dimensional approach to AI model selection.
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