MODEL COMPARISON
gemma-4-31B-it vs gpt-oss-20b
gpt-oss-20b needs less memory: about 16 GB versus about 24 GB (text weights only) for gemma-4-31B-it, a difference of 8 GB. gemma-4-31B-it has one runtime in release (Ollama). gpt-oss-20b has one runtime in release (Ollama).
SIDE BY SIDE
| Compare | gemma-4-31B-it | gpt-oss-20b |
|---|---|---|
| Memory needed | about 24 GB · Up to 32 GB (text weights only) | about 16 GB · Up to 16 GB |
| Recommended quant | Q4_K_M · 18.3 GB | Q4_K_M · 11.6 GB |
| llama.cpp support | Architecture listedChecked 25 Oct 2026 | Architecture listedChecked 25 Oct 2026 |
| Ollama support | ReleasedChecked 25 Oct 2026 | ReleasedChecked 25 Oct 2026 |
| LM Studio support | Upload availableChecked 25 Oct 2026 | Upload availableChecked 25 Oct 2026 |
| MLX / mlx-lm support | Upload availableChecked 25 Oct 2026 | Upload availableChecked 25 Oct 2026 |
| vLLM support | Architecture listedChecked 25 Oct 2026 | Architecture listedChecked 25 Oct 2026 |
| Released | Apr 2, 2026 | Aug 4, 2025 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | openai | |
| Downloads | 8.4M | 5.8M |
| Model page | Open gemma-4-31B-it ↗ | Open gpt-oss-20b ↗ |
| Fits these setups |
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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.