Qwen3.8-27B vs DeepSeek V4.1 Flash

Pyyan / Compare / Qwen3.8-27B vs DeepSeek V4.1 Flash

2 of 5

Open-Weight Models · verified 13 Sept 2026

Qwen3.8-27BAlibabacurrent

DeepSeek V4.1 FlashDeepSeekcurrent

Add another3 slots left

Specification	Qwen3.8-27B	DeepSeek V4.1 Flash
Summary	27B dense under Apache 2.0, and nearly five million downloads.	Twice the parameters of the Flash it replaces, and cheaper to run.
Context	262K native, ~1M extended	1M
Input ($/Mtok)	Weights only	$0.3
Output ($/Mtok)	Weights only	$1.2
Licence	Apache 2.0	MIT
Max output	32K	256K
Parameters	27B dense	552B total, 8B / 16B active
Released	5 Aug 2026	10 Sep 2026
Model ID	Qwen/Qwen3.8-27B	deepseek-flash
Category	Open-Weight Models	Open-Weight Models
Official	—	DeepSeek ↗

Highlighted rows are where these differ.

27B dense rather than a mixture of experts, so it behaves predictably on one machine
Apache 2.0, weights only, no hosted price
One of the most downloaded models on Hugging Face, with quantised builds everywhere

Best for running locally.

552B total, 8B active while reading the prompt and 16B while generating, with a 1M token context
DeepSeek says it beats V4-Pro; V4-Pro requests route to it from 14 September 2026
MIT licence, native image input, and a KV cache about a quarter the size of V4-Flash's

Best for cheap agentic coding with images.