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

The scale of Qwen's presence in the developer ecosystem is striking: the corporation has released more than 460 neural networks to the public, on the basis of which enthusiasts and companies have built over 300,000 derivative models. This is not just statistics, but evidence of the formation of a powerful community around Qwen.

Hugging Face data: numbers that speak for themselves

An analysis by the Hugging Face platform, published in the semi-annual report on the state of open models, paints an even more detailed picture. Over seven months of the current year, Qwen models were downloaded 2.05 billion times, and the number of derivative repositories reached 151,448. For comparison, Google's figure is only 82,506. Google's total model downloads for 2026 are estimated at 418 million, while Meta's stand at a modest 227 million.

It is important to understand that Hugging Face statistics only account for activity within its own ecosystem, excluding API requests and private deployments. Thus, the real scale of Qwen's penetration could be even greater. The report's authors rightly caution against perceiving these figures as a direct indicator of market share, yet ignoring their obvious leadership is impossible.

The dynamics deserve special attention: the number of Qwen derivative repositories grows by 180–210 daily. The community's contribution is also telling: of the 28,531 GGUF conversions of these models on the platform, only 54 were created by Alibaba itself; the rest is the work of independent developers. Hugging Face states outright that Qwen has become a standard element of developers' workflows when choosing a model for fine-tuning and deployment.

The secret to success: a strategy that cannot be copied

Qwen's superiority over competitors is explained by three key factors. First, regular updates to the model lineup. Second, impressive coverage across all scales—from compact versions with sub-billion parameter counts to the flagship Qwen3.8-Max with 2.4 trillion parameters. Third, and perhaps 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. According to Hugging Face data, versions with fewer than 1 billion parameters account for a colossal 83% of all downloads in the platform's history, while giant neural networks over 100 billion account for only 1%. This explains why laboratories focused exclusively on large LLMs are hopelessly behind. For example, Moonshot AI, which releases almost no models smaller than 70 billion parameters, gathered only 37 million downloads in a year—roughly 55 times fewer than Qwen.

Alibaba also dominates the local deployment segment: its GGUF builds are downloaded 39.6 million times per month, while Gemma's figure is 20.8 million and Llama's only 7.5 million.

Global shift: China seizes the initiative

The report reveals a fundamental shift in the balance of power in open AI. In almost every month of the current year, the largest open model from China surpassed all American releases in size. Its ceiling ranged from 754 billion to 2.78 trillion parameters, while US competitors did not exceed 130 billion in five of the seven months.

The licensing policy is also telling. In China, 59% of models with more than 20 billion parameters are released under Apache 2.0, another 22% under MIT, and none of them have restrictions on commercial use. For American developers, the picture is the opposite: only 29% under open licenses, 41% under proprietary terms, and 30% without any license specified at all.

Notably, in the US, the leaders in the number of new open models were not AI laboratories but chip manufacturers: AMD and Nvidia each released more than 200 repositories, leaving Google and Meta behind.

My analysis: Qwen's success is not merely a victory for a single company, but a demonstration of the effectiveness of China's strategy of "openness as a weapon." By providing best-in-class models with the most liberal license possible, Alibaba is effectively shaping the industry standard, undermining the positions of American giants that are increasingly closing themselves off in proprietary ecosystems. This is a long-term bet on capturing the market through developer infrastructure, and judging by current figures, it is working flawlessly.