Alibaba’s Qwen AI model family has crossed an impressive milestone, amassing over 3 billion cumulative global downloads. This remarkable achievement positions Qwen as the world’s most downloaded open AI model, according to a report from Hugging Face released on August 14, 2026.
In the wake of this news, Alibaba’s stock (BABA) saw a 1.35% increase, contrasting with drops for its competitors: Meta (META) fell by 0.86%, while Google (GOOG) experienced a slight decline of 0.12%.
On Hugging Face alone, Qwen recorded approximately 2.045 billion downloads in 2026, far exceeding Google’s 418 million and Meta’s 227 million. It’s important to note that these figures do not account for the downloads on China’s ModelScope platform, indicating that Qwen’s actual reach could be even broader.
Alibaba has made a significant contribution to the open-source community by releasing over 460 Qwen models. These models have inspired the creation of more than 300,000 derivative models developed by external creators. Specifically, on Hugging Face, developers have launched 151,448 models derived from Qwen, which is 2.6 times more than those derived from Meta’s offerings and 4.7 times more than the repositories associated with Llama.
A Self-Reinforcing Ecosystem
While the download numbers are impressive, they only tell part of the story. The increasing number of developers utilizing Qwen fuels the creation of more derivative models, which in turn attracts a growing user base. This self-reinforcing cycle is something Alibaba has been diligently cultivating.
Moreover, the company has strategically pushed Qwen through its cloud platform to enterprise clients in Southeast Asia and Africa, providing a distribution advantage that many competitors lack.
The Hugging Face report referred to Qwen as “one of the largest foundations of the open AI ecosystem,” noting its integral role in the workflows of developers as they select models for fine-tuning and deployment.
Qwen is now emerging alongside other Chinese model builders such as DeepSeek, Moonshot AI, and MiniMax, all of which are narrowing the gap with US-based models from companies like OpenAI and Anthropic.
Chinese Models Are Gaining Ground
The Hugging Face report highlighted another noteworthy trend: Chinese research labs are releasing larger models than their US counterparts. In 2026, the most substantial Chinese open models were reported to contain between 754 billion to 2.78 trillion parameters monthly, whereas the largest US open models remained under 130 billion parameters during the same timeframe.
While parameter count isn’t a definitive measure of a model’s intelligence or efficiency, particularly with mixture-of-experts architectures, the scale differential is significant.
Additionally, Chinese developers are adopting more permissive licensing models. Of the 178 Chinese models with over 20 billion parameters tracked in the report, 59% employed the Apache 2.0 license, and 22% used MIT, with none imposing non-commercial restrictions.
US technology firms are taking these developments seriously. In response, both Meta and Nvidia have recently unveiled new open AI models, intensifying the competition for developer attention.
Alibaba’s Qwen surpassing 3 billion downloads marks a pivotal shift in the landscape of AI development, signaling where developers are increasingly choosing to innovate.
