MODEL COMPARISON
Qwen3.8-27B vs gemma-4-26B-A4B-it
Qwen3.8-27B and gemma-4-26B-A4B-it need about the same memory (within 1 GB): about 23 GB (text weights only) and about 22 GB (text weights only). Qwen3.8-27B has 2 runtimes in release (Ollama and LM Studio). gemma-4-26B-A4B-it has one runtime in release (Ollama).
SIDE BY SIDE
| Compare | Qwen3.8-27B | gemma-4-26B-A4B-it |
|---|---|---|
| Memory needed | about 23 GB · Up to 32 GB (text weights only) | about 22 GB · Up to 32 GB (text weights only) |
| Recommended quant | Q4_K_M · 17.4 GB | Q4_K_M · 17.0 GB |
| llama.cpp support | Architecture listedChecked 27 Oct 2026 | Architecture listedChecked 27 Oct 2026 |
| Ollama support | ReleasedChecked 27 Oct 2026 | ReleasedChecked 27 Oct 2026 |
| LM Studio support | ReleasedChecked 27 Oct 2026 | Upload availableChecked 27 Oct 2026 |
| MLX / mlx-lm support | Upload availableChecked 27 Oct 2026 | Upload availableChecked 27 Oct 2026 |
| vLLM support | Architecture listedChecked 27 Oct 2026 | Architecture listedChecked 27 Oct 2026 |
| Released | Aug 5, 2026 | Apr 2, 2026 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | Qwen | |
| Downloads | 7.5M | 7.4M |
| Model page | Open Qwen3.8-27B ↗ | Open gemma-4-26B-A4B-it ↗ |
| 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.