Alibaba’s Qwen Surpasses 3 Billion Downloads as Its Open-AI Footprint Expands

By Tahani Elghazaly
Published August 15, 2026

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Competition in open-weight artificial intelligence is intensifying as Alibaba’s Qwen family gains significant global traction. The Chinese technology company says its models recorded more than 3 billion downloads worldwide over the past six months, highlighting the rapidly expanding use of Chinese AI technology among developers beyond its home market.

The figures show a substantial gap with two major U.S. rivals. Google recorded about 418 million model downloads in 2026, compared with 227 million for Meta, according to Hugging Face data cited by Bloomberg. The comparison, however, requires some context: Alibaba’s 3-billion figure is a company-reported global total covering the past six months, while the Google and Meta figures refer to Hugging Face activity during 2026.

Independent data from Hugging Face also shows Qwen’s strong momentum. Across all Qwen repositories, the model family accumulated approximately 2.061 billion downloads during the first seven months of 2026, compared with about 37 million for Moonshot, illustrating the scale at which Qwen has become integrated into developers’ workflows.

Alibaba’s influence extends beyond download counts. The company says it has released more than 460 open Qwen models and that the wider ecosystem has generated more than 300,000 derivative models. Hugging Face separately counts 151,448 Qwen-based derivatives on its platform—about 2.6 times Meta’s overall footprint—while Google accounts for 82,506 derivatives.

Hugging Face links Qwen’s growth to Alibaba’s strategy of offering models across a broad range of sizes and use cases rather than relying only on occasional flagship releases. Licensing such as Apache 2.0 also reduces barriers to modifying, redistributing and commercially using the models, helping Qwen become a base on which developers increasingly build and fine-tune their own AI systems.

Download totals should not, however, be interpreted as a simple ranking of which AI model is technically “best.” Hugging Face explains that downloads are particularly useful for showing which models have become embedded in developers’ pipelines, but they do not capture all API use, private deployments or technical performance. Even with that qualification, the data points to a significant shift in the open-model landscape, with Chinese developers—and Alibaba in particular—gaining greater influence over the technologies developers choose to build on.