MODEL COMPARISON
DeepSeek-V3.2 vs DeepSeek-R1
DeepSeek-V3.2 and DeepSeek-R1 need about the same memory (within 1 GB): about 488 GB and about 487 GB. DeepSeek-V3.2 has no runtime listed as in release. DeepSeek-R1 has one runtime in release (Ollama).
SIDE BY SIDE
| Compare | DeepSeek-V3.2 | DeepSeek-R1 |
|---|---|---|
| Memory needed | about 488 GB · More than 128 GB (server / multi-GPU) | about 487 GB · More than 128 GB (server / multi-GPU) |
| Recommended quant | Q4_K_M · 405.4 GB | Q4_K_M · 404.4 GB |
| llama.cpp support | Architecture listedChecked 23 Oct 2026 | Architecture listedChecked 23 Oct 2026 |
| Ollama support | UnknownVersion v0.40.9 · Checked 23 Oct 2026 | ReleasedChecked 23 Oct 2026 |
| LM Studio support | UnknownChecked 23 Oct 2026 | UnknownChecked 23 Oct 2026 |
| MLX / mlx-lm support | Upload availableChecked 23 Oct 2026 | Architecture listedChecked 23 Oct 2026 |
| vLLM support | Architecture listedChecked 23 Oct 2026 | Architecture listedChecked 23 Oct 2026 |
| On Hugging Face since | 01 Dec 2025 | 20 Jan 2025 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | deepseek-ai | deepseek-ai |
| Downloads | 5.4M | 1.4M |
| Model page | Open DeepSeek-V3.2 ↗ | Open DeepSeek-R1 ↗ |
| 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.