MODEL COMPARISON
DeepSeek-R1 vs Kimi-K3
DeepSeek-R1 needs less memory: about 487 GB versus about 562 GB (smallest observed quant) for Kimi-K3, a difference of 75 GB. DeepSeek-R1 has one runtime in release (Ollama). Kimi-K3 has no runtime listed as in release.
SIDE BY SIDE
| Compare | DeepSeek-R1 | Kimi-K3 |
|---|---|---|
| Memory needed | about 487 GB · Up to 512 GB | about 562 GB · More than 512 GB (server / multi-GPU) (smallest observed quant) |
| Recommended quant | Q4_K_M · 404.4 GB | UD-Q1_0 · 466.4 GB |
| llama.cpp support | Architecture listedChecked 23 Oct 2026 | Architecture listedChecked 23 Oct 2026 |
| Ollama support | ReleasedChecked 23 Oct 2026 | UnknownVersion v0.40.10 · Checked 23 Oct 2026 |
| LM Studio support | UnknownChecked 23 Oct 2026 | UnknownChecked 23 Oct 2026 |
| MLX / mlx-lm support | Architecture listedChecked 23 Oct 2026 | Upload availableChecked 23 Oct 2026 |
| vLLM support | Architecture listedChecked 23 Oct 2026 | Architecture listedChecked 23 Oct 2026 |
| Released | Jan 20, 2025 | Jul 27, 2026 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | deepseek-ai | moonshotai |
| Downloads | 1.4M | 922.1K |
| Model page | Open DeepSeek-R1 ↗ | Open Kimi-K3 ↗ |
| 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.