Alibaba's Qwen Models Near 1 Billion Downloads, Dominate Open-Source AI

Alibaba's Qwen has become the undisputed heavyweight in the global open-source AI arena, with its model family nearing a staggering 1 billion total downloads. As of March 2026, it has captured over 50% of all downloads, a lead cemented by a record 153.6 million downloads in February alone. This volume is more than double the combined downloads of its next eight competitors, leaving rivals like Meta's Llama hundreds of millions of downloads behind.

The catalyst for this surge is the February 2026 launch of Qwen 3.5, which delivers massive practical improvements: it's up to eight times faster and approximately 60% cheaper to run than the previous version. This aggressive performance-for-price strategy is designed to drive mass developer adoption and build a vast ecosystem. The success of Qwen models, including the earlier Qwen 2.5, has fueled a broader market shift where Chinese open-source models have now overtaken their U.S. counterparts in total global downloads since mid-2024.

Alibaba's playbook is clear: offer powerful, cost-efficient models to attract a massive global user base, which it can then monetize through its cloud services and platform. While newer entrants like DeepSeek see spikes in popularity, and established players like Nvidia show steady growth, none currently match Qwen's scale or momentum. The lead is not just significant—it's widening rapidly, solidifying Alibaba's position in the core infrastructure of the global AI race.