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Chinese corporation Alibaba has reached an impressive milestone: the total number of downloads of its open AI models from the Qwen family has exceeded 3 billion over the past six months. This is a landmark event that is radically reshaping the balance of power in the global artificial intelligence race.

To date, Alibaba has released more than 460 neural networks into the public domain, based on which third-party developers have created over 300,000 derivative models. This is not just statistics, but direct evidence that Qwen has become the foundation for a vast layer of innovation around the world.

Hugging Face Data: Numbers That Speak for Themselves

An analysis of the Hugging Face platform ecosystem over seven months of the current year reveals an even larger picture. According to my calculations based on this data, Qwen models were downloaded 2.05 billion times, and the number of their derivative repositories reached 151,448. For comparison, the closest competitor Google has only 82,506. Google model downloads for 2026 are estimated at 418 million, while Meta's stand at a modest 227 million.

It is important to understand the context: Hugging Face statistics only account for activity within its own ecosystem, excluding API requests, private enterprise deployments, and other distribution channels. Thus, the real scale of Qwen's penetration could be significantly higher.

The Secret to Success: Strategy, Not Coincidence

Qwen's leadership is the result of a well-calibrated strategy, not luck. I highlight three key factors that have ensured its dominance. First, regular updates to the model lineup. Second, incredible coverage across all scales—from sub-billion versions to the giant Qwen3.8-Max with 2.4 trillion parameters. Third, and most importantly, the Apache 2.0 license, which imposes no restrictions on modification or commercial use.

The breadth of the model lineup proved to be the decisive factor. Platform data shows that versions with fewer than 1 billion parameters account for 83% of all downloads in history, while giant neural networks over 100 billion account for only 1%. This is why laboratories focused exclusively on large LLMs, such as Moonshot AI, are hopelessly behind: their models have gathered just 37 million downloads over the year—roughly 55 times less than Qwen.

Global Shift: China Sets the Rules of the Game

This report demonstrates a fundamental shift in the industry. In almost every month of the current year, the largest open model from China has surpassed all U.S. releases in size. The difference in licensing policies is also telling: in China, 59% of models with more than 20 billion parameters are released under Apache 2.0, and none of them have restrictions on commercial use. In the U.S., the picture is the opposite: 41% of such models are distributed under proprietary terms.

Notably, in the U.S., the leaders in the number of new open models were not AI laboratories but chip manufacturers—AMD and Nvidia, each releasing more than 200 repositories.

My analysis: Qwen's success is a clear signal that openness and flexibility are becoming the primary weapons in the competitive battle for developers. While American giants try to monetize their proprietary technologies, China is capturing the minds and infrastructure of the global developer community, laying the groundwork for long-term technological leadership. This is a strategic victory that will have consequences for years to come.