China leverages short-video ecosystem, lower costs to carve out lead in AI video

Chinese AI firms are gaining a competitive edge in video generation by leveraging vast short-video ecosystems and rapid iteration cycles. Companies like Alibaba and ByteDance currently dominate industry benchmarks, outperforming several US-based rivals.
Why it matters
This shift suggests that proprietary data access and domestic market demand may be as critical as raw compute power in the global AI arms race.
Chinese artificial intelligence companies are carving out a distinct lead over their US rivals in video generation, leveraging vast short-video ecosystems, looser copyright rules and aggressive pricing to dominate an arena where compute alone does not dictate success, analysts say.
While US tech giants such as OpenAI and Anthropic continue to lead in frontier closed-source large language models (LLMs), Chinese firms are emerging as some of the most formidable competitors in the AI video generation battleground.
Models from Chinese firms including Alibaba Group Holding, MiniMax and ByteDance currently dominate benchmark rankings on industry evaluation platform Artificial Analysis.
Alibaba’s Wan 3.0 ranks first on Artificial Analysis’ text-to-video leaderboard with audio, ahead of second-placed Google Gemini Omni Flash. A version of MiniMax H3 post-trained by US platform fal ranks third, followed by the original open-weight H3 and ByteDance’s Seedance 2.0. Together, Chinese models occupy eight of the top 10 positions.
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