Pyyan / Compare / Phi-4 vs DeepSeek V4-Pro vs Kimi K3 vs GLM-5.2

Phi-4 vs DeepSeek V4-Pro vs Kimi K3 vs GLM-5.2

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Open-Weight Models · verified 13 Aug 2026

×Phi-4Microsoftcurrent
×DeepSeek V4-ProDeepSeekcurrent
×Kimi K3Moonshot AIcurrent
×GLM-5.2Zhipu AIcurrent
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SpecificationPhi-4DeepSeek V4-ProKimi K3GLM-5.2
SummaryBest small model — fits a 12GB GPU.Best all-round open model of 2026.Largest open-weight model shipped.Strongest open reasoning and mathematics.
LicenceMITMITOpen weightsOpen weights
Parameters14B2.8T
Released17 Jul 2026
CategoryOpen-Weight ModelsOpen-Weight ModelsOpen-Weight ModelsOpen-Weight Models
OfficialMicrosoftDeepSeekMoonshot AIZhipu AI

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 →

DeepSeek V4-Pro

  • Tops open leaderboards on agentic coding and reasoning
  • MIT licence — no conditions
  • Pioneered aggressive cache-hit pricing at ~$0.07/M

Best for everything open.

Full spec sheet →

Kimi K3

  • Tops the Frontend Code Arena
  • 76.8% on SWE-Bench Verified

Best for coding.

Full spec sheet →

GLM-5.2

  • 91.2 on GPQA Diamond
  • Strong agentic tool use

Best for maths and reasoning.

Full spec sheet →