How much RAM does Qwen3.8-Flash-Next need?

Qwen3.8-Flash-Next needs about 364 GB of memory at Q4_K_M quantization with 4K context. The download itself is 360 GB; the extra covers the context cache and runtime overhead.

Can I run Qwen3.8-Flash-Next on a laptop?

Not on typical consumer hardware. Qwen3.8-Flash-Next needs 364 GB, which is beyond a normal laptop or desktop.

Qwen3.8-Flash-Next: hardware requirements

Qwen3.8-Flash-Next needs about 364 GB of memory at Q4 quantization — a 360 GB download plus room for context and overhead. That is beyond consumer hardware; use it through an API instead.

Parameters

180B

Tier

Server only

Licence

See model card

Released

2026-08-26

This is a mixture-of-experts model. Only a fraction of its 180B parameters are used for each token, so it runs faster than its size suggests — but all of it still has to fit in memory. The speed is that of a small model; the memory requirement is that of a large one. More on this →

Will it run on your machine?

8GB RAMNot enough memory 16GB RAMNot enough memory 24GB RAMNot enough memory 32GB RAMNot enough memory 64GB RAMNot enough memory 128GB RAMNot enough memory 8GB VRAMNot enough memory 12GB VRAMNot enough memory 16GB VRAMNot enough memory 24GB VRAMNot enough memory 32GB VRAMNot enough memory

Download sizes by quantization

Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?

Quant	Download	RAM @ 4K	RAM @ 32K	Source
Published	360 GB	364 GB	366 GB	measured

“Measured” sizes are read from published GGUF files (Qwen/Qwen3.8-Flash-Next). “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.

Model card on HuggingFace →API specs & pricing →Verified 2026-08-27Tracked for 12 months after release