Pyyan / Compare / Phi-4 vs Qwen3.8-Flash-Next

Phi-4 vs Qwen3.8-Flash-Next

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Open-Weight Models · verified 2 Sept 2026

Phi-4Microsoftcurrent
Qwen3.8-Flash-NextAlibabacurrent
3 slots left
SpecificationPhi-4Qwen3.8-Flash-Next
SummaryBest small model — fits a 12GB GPU.The most downloaded thing on Hugging Face right now, and a stated Qwen4 preview.
Context—262K native, ~1M extended
Input ($/Mtok)—$0.15
Output ($/Mtok)—$0.47
LicenceMITOpen weights
Max output—32K
Parameters14B125B total, 6B active
Released—26 Aug 2026
Model ID—Qwen/Qwen3.8-Flash-Next
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialMicrosoft ↗—

Highlighted rows are where these differ.

Phi-4

  • Beats GPT-4o on mathematics
  • Phi-4-mini runs in ~3GB at Q4

Best for local use.

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 →