MODEL COMPARISON
gemma-4-31B-it vs Qwen3.8-27B
gemma-4-31B-it and Qwen3.8-27B need about the same memory (within 1 GB): about 24 GB (text weights only) and about 23 GB (text weights only). gemma-4-31B-it has one runtime in release (Ollama). Qwen3.8-27B has 2 runtimes in release (Ollama and LM Studio).
SIDE BY SIDE
| Compare | gemma-4-31B-it | Qwen3.8-27B |
|---|---|---|
| Memory needed | about 24 GB · Up to 32 GB (text weights only) | about 23 GB · Up to 32 GB (text weights only) |
| Recommended quant | Q4_K_M · 18.3 GB | Q4_K_M · 17.4 GB |
| llama.cpp support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| Ollama support | ReleasedChecked 22 Oct 2026 | ReleasedChecked 22 Oct 2026 |
| LM Studio support | Upload availableChecked 22 Oct 2026 | ReleasedChecked 22 Oct 2026 |
| MLX / mlx-lm support | Upload availableChecked 22 Oct 2026 | Upload availableChecked 22 Oct 2026 |
| vLLM support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| On Hugging Face since | 11 Mar 2026 | 05 Aug 2026 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | Qwen | |
| Downloads | 8.6M | 7.8M |
| Model page | Open gemma-4-31B-it ↗ | Open Qwen3.8-27B ↗ |
| 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.