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Alibaba previews Qwen4 architecture with cost-efficient MoE model

This story is from 2026-08-25. It is preserved in the archive; the latest stories are on the live feed.

Alibaba's Qwen team released Qwen3.8-Flash-Next, a 125B-parameter multimodal MoE model activating 6B per token, previewing the Qwen4 architecture. It targets 'ultimate cost efficiency' with one-ninth training cost and includes a 51B n-gram component, with memory estimates around 80-90 GB in 4-bit quant.

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-08-25 17:42 · r/LocalLLaMA
    Qwen3.8-Flash-Next. This architecture could be surprisingly local-friendly once the weights drop. 👀

More stories

  1. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  2. Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion
  3. Alibaba releases Qwen-Image-2.1, a 7B open-weight model it says outperforms most closed-source models, with native transparency and up to ten reference images (Qwen) — Techmeme
  4. Alibaba open-sources medical AI model that can detect cancer and nearly 150 conditions — South China Morning Post Tech
  5. Alibaba's Damo Academy open sources RADAR, a medical vision-language model it says can read CT scans and identify ~150 abdominal conditions, including cancers (Ann Cao/South China Morning Post) — Techmeme
  6. Qwen q4 3.8 27b 16 tok/s 32k RTX 3060 :D — r/LocalLLM
  7. 10 hours left fo Qwen Image 2.1 Public Open Source Release — r/StableDiffusion
  8. Qwen 3.8 27B running on a single RTX 5090 researches and creates a full animation using only code. — r/artificial

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