Chinese open-source LLMs account for 41% of Hugging Face downloads as domestic models advance rapidly

Chinese firms including DeepSeek, Tencent, and MiniMax now account for 41% of LLM downloads on Hugging Face. Their open-source models are undercutting closed-source costs and drawing global developer adoption.

Categorized in: AI News IT and Development
Published on: Apr 28, 2026
Chinese open-source LLMs account for 41% of Hugging Face downloads as domestic models advance rapidly

Chinese open-source LLMs gain ground as global development drivers

Chinese tech companies including Tencent, DeepSeek, Moonshot AI, and MiniMax are releasing rapid iterations of open-source large language models, positioning themselves as core suppliers in the global open-source AI ecosystem.

DeepSeek released its V4 model, which the Hangzhou startup says matches the best open-source models in agentic coding and leads in general knowledge, placing second only to Gemini 3.1 Pro among closed-source options. The model shows strong performance in programming, world knowledge, and logical reasoning.

Tencent's Hunyuan model has reduced AI inference and deployment costs, allowing smaller companies to build customized AI applications without major capital investment. Moonshot AI's Kimi model introduces task decomposition that lets multiple AI agents collaborate on complex workflows. MiniMax, based in Shanghai, has made gains in code generation and program comprehension.

Chinese-developed models accounted for about 41 percent of large language model downloads on Hugging Face, the world's largest open-source AI community, over the past year, according to the platform's Spring 2026 report. The report identifies China as one of the most active and fastest-growing regions for open-source AI models.

Zhong Xinlong, associate researcher at the Future Industry Research Center of the China Center for Information Industry Development, said open-source models lower enterprise adoption costs, expand developer ecosystems, and strengthen supply chain independence. "Open-source large language models will accelerate the transition of AI from standalone tools to foundational industrial infrastructure," Zhong said.

For developers, the shift toward open-source options means more choice in model selection and lower barriers to deployment. Teams can now evaluate and integrate models without licensing constraints that typically apply to closed-source alternatives.

Learn more about Generative AI and LLM developments or explore Deepseek specifically.


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