Qwen3.8-Flash-Next

What it does

Qwen3.8-Flash-Next is a 125B multimodal MoE with only 6B active parameters and a new architecture built around QSA, Gated Residual, N-gram embeddings, and Muon. Its open weights give an early look at the architecture Qwen is building toward Qwen4.

Qwen offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.

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  Qwen3.5 SmallMar 2026 · huggingface.co · ▲355

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  Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/sSep 2026 · github.com · ▲240

  I built slotstream, a way to run Qwen3.8-Flash-Next 4-bit on a low-memory mac starting from 16GB, a 125B parameter model that would need 100GB+ memory/RAM, thanks to expert-offloading/ssd-streaming. Easy to install/update, and mac-native using MLX and Swift. It ships with auto-mode, which makes a good tradeoff between memory usage and speed. I'll be implementing and porting the MTP module for speculative decoding next Local models really are the future of computing!

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  Qwen3.6-35B-A3BApr 2026 · qwen.ai · ▲124

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  Qwen3.5Feb 2026 · qwen.ai · ▲288

  The 397B native multimodal agent with 17B active params

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  Qwen3-Next2025 · qwen.ai · ▲16

  The future of efficient LLMs

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  Qwen32025 · github.com · ▲149

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