DeepSeek-V3.2 vs Kimi-K2-Instruct
Specs, VRAM requirements and download trends — updated 21 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-V3.2 | Kimi-K2-Instruct |
|---|---|---|
| Parameters | 685.4 B | 1,026.5 B |
| Architecture | DeepseekV32ForCausalLM | DeepseekV3ForCausalLM |
| Context length | 163,840 | 131,072 |
| Licence | mit | other |
| Commercial use | Allowed | Unknown |
| Languages | — | — |
| Downloads 30d | 2,488,767 | 218,841 |
| Downloads all time | 24.5 M | 4.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-12-01 | 2025-07-11 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
2.5 M162 K
DeepSeek-V3.2
Kimi-K2-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-V3.2 · fp16 @ 160K ctx
2,815.1 GB / 24 GB
Kimi-K2-Instruct · fp16 @ 128K ctx
3,596.1 GB / 24 GB