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MODEL COMPARISON

Qwen3.8-27B vs gpt-oss-20b

gpt-oss-20b needs less memory: about 16 GB versus about 23 GB (text weights only) for Qwen3.8-27B, a difference of 7 GB. Qwen3.8-27B has 2 runtimes in release (Ollama and LM Studio). gpt-oss-20b has one runtime in release (Ollama).

SIDE BY SIDE

CompareQwen3.8-27Bgpt-oss-20b
Memory neededabout 23 GB · Up to 32 GB (text weights only)about 16 GB · Up to 16 GB
Recommended quantQ4_K_M · 17.4 GBQ4_K_M · 11.6 GB
llama.cpp supportArchitecture listedChecked 03 Nov 2026Architecture listedChecked 03 Nov 2026
Ollama supportReleasedChecked 03 Nov 2026ReleasedChecked 03 Nov 2026
LM Studio supportReleasedChecked 03 Nov 2026Upload availableChecked 03 Nov 2026
MLX / mlx-lm supportUpload availableChecked 03 Nov 2026Upload availableChecked 03 Nov 2026
vLLM supportArchitecture listedChecked 03 Nov 2026Architecture listedChecked 03 Nov 2026
ReleasedAug 5, 2026Aug 4, 2025
LicenseNot recorded in this snapshot — see the model card ↗Not recorded in this snapshot — see the model card ↗
PublisherQwenopenai
Downloads8M6M
Model pageOpen Qwen3.8-27B ↗Open gpt-oss-20b ↗
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 GBRuns well
  • Mac 32 GBRuns well
  • Mac 64 GBRuns well
  • GPU 8 GB + 32 GB RAMTight
  • GPU 12 GB + 32 GB RAMTight
  • GPU 16 GB + 32 GB RAMRuns well
  • GPU 24 GB + 64 GB RAMRuns well
  • CPU 32 GBRuns well
  • 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.