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

DeepSeek V4.1 Flash vs Qwen3.8-Flash-Next

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Open-Weight Models · verified 13 Sept 2026

DeepSeek V4.1 FlashDeepSeekcurrent
Qwen3.8-Flash-NextAlibabacurrent
3 slots left
SpecificationDeepSeek V4.1 FlashQwen3.8-Flash-Next
SummaryTwice the parameters of the Flash it replaces, and cheaper to run.The most downloaded thing on Hugging Face right now, and a stated Qwen4 preview.
Context1M262K native, ~1M extended
Input ($/Mtok)$0.3$0.15
Output ($/Mtok)$1.2$0.47
LicenceMITOpen weights
Max output256K32K
Parameters552B total, 8B / 16B active125B total, 6B active
Released10 Sep 202626 Aug 2026
Model IDdeepseek-flashQwen/Qwen3.8-Flash-Next
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialDeepSeek ↗—

Highlighted rows are where these differ.

DeepSeek V4.1 Flash

  • 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.

Full spec sheet →

Qwen3.8-Flash-Next

  • 125B total parameters with only 6B active per token
  • Alibaba describes it as a preview of the Qwen4 architecture
  • Top of the Hugging Face trending list, with a GGUF build close behind it

Best for open weights at speed.

Full spec sheet →