MODEL COMPARISON
Qwen3-14B vs Qwen3.5-9B
Qwen3.5-9B needs less memory: about 9 GB (text weights only) versus about 13 GB for Qwen3-14B, a difference of 4 GB. Qwen3-14B has one runtime in release (Ollama). Qwen3.5-9B has one runtime in release (Ollama).
SIDE BY SIDE
| Compare | Qwen3-14B | Qwen3.5-9B |
|---|---|---|
| Memory needed | about 13 GB · Up to 16 GB | about 9 GB · Up to 16 GB (text weights only) |
| Recommended quant | Q4_K_M · 9.0 GB | Q4_K_M · 5.7 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 | Upload availableChecked 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 | 27 Apr 2025 | 27 Feb 2026 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | Qwen | Qwen |
| Downloads | 9.2M | 6.7M |
| Model page | Open Qwen3-14B ↗ | Open Qwen3.5-9B ↗ |
| 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.