This week, someone spotted a detail on GitHub: traces of Qwen 3.8 35B-A3B appeared in the code of Alibaba Tongyi's ms-swift (an open-source model training and deployment framework). The "35B-A3B" reads as 35 billion total parameters with 3 billion activated per inference—a classic MoE architecture (Mixture of Experts, where a large model is split into multiple "small experts" called on demand).
What This Is
Qwen 3 was released in April this year; the leap to 3.8 suggests Alibaba skipped several minor versions and is iterating directly on critical capabilities. Drawing on the performance of models like Qwen3-235B-A22B, we expect the 35B-tier update to push forward on multilingual capability, long context (the amount of text a model can "read in" at once), and inference efficiency. There's no official confirmation yet—most findings on Reddit's r/LocalLLaMA (a community of enthusiasts running large models locally) are based on code commits and config file screenshots.
Industry View
The community is in a "watch and wait" optimistic mood—the Qwen family has been the most-downloaded and most-derivative-modeled family in the open-source camp over the past year, and trust is high. But we should flag a risk: the open-source world has a "model inflation" problem, where marginal improvement per version keeps shrinking. Whether 3.8 delivers substantive breakthroughs over 3 will decide if Alibaba "keeps leading" or "stands still." Another view: the 35B-A3B size is a delicate choice—slightly larger than Qwen3-30B-A3B but short of 70B—suggesting Alibaba continues to walk a tightrope between "single-GPU runnable" and "capability ceiling."
Impact on Regular People
For enterprise IT: 35B-A3B fits on a single consumer-grade GPU (such as an RTX 4090), meaning the hardware threshold for SMBs to self-host AI systems has dropped another notch.
For working professionals: The faster open-source models iterate, the less pricing power closed-source APIs (paid online interfaces billed per call) retain—a signal that AI costs will trend down over the long term.
For consumer markets: Alibaba has product lines in both ToB (enterprise-facing) and ToC (consumer-facing). Once the new model is officially released, it will land in DingTalk, Taobao, and similar scenarios within weeks.