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Public story · 2026-08-26 · high
It activates 6B of roughly 125B parameters and claims a training cost one-ninth of Qwen3.7-Plus.
Why now: Weights are staged for release at 23:00 Beijing time on August 26, with r/LocalLLaMA and Unsloth already positioned to test it the moment it posts.
Alibaba staged Qwen3.8-Flash-Next on ModelScope for release at 23:00 Beijing time on August 26, calling it an early preview of the Qwen4 architecture.
The model activates just 6 billion of its roughly 125 billion parameters per token. Alibaba says training it cost about a ninth of Qwen3.7-Plus for similar capability. That ratio would reshape the budget for anyone deciding whether to train a model from scratch.
Qwen3.8-Flash-Next pairs those parameters with an N-gram embedding table of roughly 51 billion, GDN gated-delta hybrid layers, and Qwen Sparse Attention. Alibaba hasn't published any side-by-side scores against its own models or anyone else's. Treat the training-cost number as a claim, not a result.
r/LocalLLaMA already has a pinned megathread, and Unsloth announced day-0 quantized versions before the weights even existed. The top comment came from someone who'd just finished tuning Qwen3.8-27B, joking that the paint was still wet on that release. Commenters are asking for llama.cpp flags to push the sparse KV cache onto SSD.
Each link below shares sources, entities, or timing with this story.
Alibaba released Qwen / Shared entities / Same source / Shared topic / Earlier coverage
Linked by a graph relationship (Alibaba released Qwen); both cover Commenters, Flash, ModelScope, Next; cite the same source (Staged on ModelScope).
Alibaba released Qwen / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (Alibaba released Qwen); both cover Alibaba, August, ModelScope, Qwen; overlapping topics (alibaba, architecture, around, august, qwen3).
Linked by a graph relationship (Alibaba released Qwen); both cover Alibaba, August, LocalLLaMA, Plus; overlapping topics (august, qwen3).
Alibaba released Qwen / Shared entities / Earlier coverage / Tension
Linked by a graph relationship (Alibaba released Qwen); both cover Alibaba, LocalLLaMA, Qwen, Qwen3; earlier Alibaba coverage from 2026-04-23.
Alibaba released Qwen / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (Alibaba released Qwen); both cover Alibaba, LocalLLaMA, Qwen, Qwen3; overlapping topics (alibaba, architecture, attention, cache).
Alibaba released Qwen / Shared entities / Earlier coverage
Linked by a graph relationship (Alibaba released Qwen); both cover Alibaba, August, ModelScope, Qwen; earlier Alibaba coverage from 2026-08-05.
Alibaba released Qwen / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (Alibaba released Qwen); both cover Alibaba, LocalLLaMA, Qwen, Qwen3; overlapping topics (attention, qwen3).
Linked by a graph relationship (Alibaba released Qwen); both cover August, Beijing, LocalLLaMA, Qwen; overlapping topics (august, beijing).