At this week’s Apsara Conference in Hangzhou, Alibaba unveiled Qwen3-Max, a trillion-parameter model that matches or beats offerings from OpenAI and Google on key benchmarks. The launch caps an extraordinary sprint from a 7 billion parameter beta model in April 2023 to frontier-scale AI in just 30 months.
Qwen3-Max scores 69.6% on coding benchmark SWE-Bench Verified and achieves perfect marks on advanced maths tests AIME25 and HMMT. The model ranks third globally on LMArena’s text leaderboard, behind only Claude Opus 4.1 and Gemini 2.5. Unlike competitors, it’s not a full reasoning model, with that coming soon.
While Western labs carefully orchestrate releases, Alibaba has launched 228 Qwen models in 2025 alone, including specialised offerings for vision, speech, and coding. CEO Eddie Wu backed this push with a multi-billion-dollar commitment over three years, exceeding Alibaba’s entire previous decade of AI spending.
Wall Street noticed, sending Alibaba shares up 10% during the conference. The recognition seems overdue. Qwen models have been downloaded 400 million times globally, spawning 140,000 derivatives.
Takeaways: Qwen has compressed a decade of expected AI development into two years through sheer focus. Their success challenges the assumption that careful, measured development beats rapid iteration. Expect Qwen to continue pushing boundaries and demonstrating to others that such progress is possible even without the budgets and heritage of the US tech giants.