MODEL COMPARISON
DeepSeek-V3.2 vs Kimi-K2.6
DeepSeek-V3.2 needs less memory: about 488 GB versus about 702 GB for Kimi-K2.6, a difference of 214 GB. DeepSeek-V3.2 has no runtime listed as in release. Kimi-K2.6 has no runtime listed as in release.
SIDE BY SIDE
| Compare | DeepSeek-V3.2 | Kimi-K2.6 |
|---|---|---|
| Memory needed | about 488 GB · More than 128 GB (server / multi-GPU) | about 702 GB · More than 128 GB (server / multi-GPU) |
| Recommended quant | Q4_K_M · 405.4 GB | Q4_0 · 583.7 GB |
| llama.cpp support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| Ollama support | UnknownVersion v0.40.8 · Checked 22 Oct 2026 | UnknownVersion v0.40.8 · Checked 22 Oct 2026 |
| LM Studio support | UnknownChecked 22 Oct 2026 | UnknownChecked 22 Oct 2026 |
| MLX / mlx-lm support | Architecture listedChecked 22 Oct 2026 | Upload availableChecked 22 Oct 2026 |
| vLLM support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| On Hugging Face since | 01 Dec 2025 | 14 Apr 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 | 5.5M | 352.5K |
| Model page | Open DeepSeek-V3.2 ↗ | Open Kimi-K2.6 ↗ |
| 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.