Does It Run Local?

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MODEL COMPARISON

gemma-4-31B-it vs Qwen3-32B

gemma-4-31B-it needs less memory: about 24 GB (text weights only) versus about 26 GB for Qwen3-32B, a difference of 2 GB. gemma-4-31B-it has one runtime in release (Ollama). Qwen3-32B has one runtime in release (Ollama).

SIDE BY SIDE

Comparegemma-4-31B-itQwen3-32B
Memory neededabout 24 GB · Up to 32 GB (text weights only)about 26 GB · Up to 32 GB
Recommended quantQ4_K_M · 18.3 GBQ4_K_M · 19.8 GB
llama.cpp supportArchitecture listedChecked 22 Oct 2026Architecture listedChecked 22 Oct 2026
Ollama supportReleasedChecked 22 Oct 2026ReleasedChecked 22 Oct 2026
LM Studio supportUpload availableChecked 22 Oct 2026Upload availableChecked 22 Oct 2026
MLX / mlx-lm supportUpload availableChecked 22 Oct 2026Upload availableChecked 22 Oct 2026
vLLM supportArchitecture listedChecked 22 Oct 2026Architecture listedChecked 22 Oct 2026
On Hugging Face since11 Mar 202627 Apr 2025
LicenseNot recorded in this snapshot — see the model card ↗Not recorded in this snapshot — see the model card ↗
PublishergoogleQwen
Downloads8.6M2.8M
Model pageOpen gemma-4-31B-it ↗Open Qwen3-32B ↗
Fits these setups
  • Mac 16 GBWon't fit
  • Mac 24 GBWon't fit
  • Mac 32 GBTight
  • Mac 64 GBRuns well
  • GPU 8 GB + 32 GB RAMTight
  • GPU 12 GB + 32 GB RAMTight
  • GPU 16 GB + 32 GB RAMTight
  • GPU 24 GB + 64 GB RAMRuns well
  • CPU 32 GBRuns well
  • CPU 64 GBRuns well
  • Mac 16 GBWon't fit
  • Mac 24 GBWon't fit
  • Mac 32 GBTight
  • Mac 64 GBRuns well
  • GPU 8 GB + 32 GB RAMWon't fit
  • GPU 12 GB + 32 GB RAMTight
  • GPU 16 GB + 32 GB RAMTight
  • GPU 24 GB + 64 GB RAMTight
  • CPU 32 GBTight
  • CPU 64 GBRuns well

Memory needed is the same estimate shown on each model page: the recommended observed file plus 20% headroom and a 1.5 GB runtime allowance. See which setups fit →

These are estimates from observed file sizes, not benchmarks. They don’t account for long contexts or the KV cache, and fitting does not establish runtime compatibility or speed.