Qwen3.8-27B: hardware requirements

Qwen3.8-27B needs about 19 GB of memory at Q4_K_M quantization: a 17 GB download plus room for context and a runtime allowance. That fits a machine with 32GB RAM.

Parameters
28B
Tier
Needs a good desktop
Licence
See model card
Released
2026-08-14

Will it run on your machine?

Use it without your own hardware

OpenRouter lists Qwen3.8 27B at $0.15 per million input tokens and $1.875 per million output tokens. Artificial Analysis measured hosted providers generating 42 tokens per second (Nov 13, 2026).

Price as listed on OpenRouter today. Speed is for hosted servers, not a home computer.

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?

QuantDownloadRAM @ 4KRAM @ 32KSource
Q4_K_Mrecommended17 GB19 GB27 GBunsloth/Qwen3.8-27B-GGUF
Q5_K_M20 GB23 GB30 GBunsloth/Qwen3.8-27B-GGUF
Q6_K22 GB25 GB33 GBunsloth/Qwen3.8-27B-GGUF
Q8_029 GB33 GB41 GBunsloth/Qwen3.8-27B-GGUF
BF1656 GB60 GB67 GBunsloth/Qwen3.8-27B-GGUF

Download sizes are measured from the published files named in the Source column. The RAM columns add the context cache, calculated from the model's configuration, and a runtime allowance of 10% of the download (at least 0.5GB, at most 3GB).

Model card on HuggingFace →API specs & pricing →Verified 2026-11-12Listed for 120 days after release