DeepSeek-V3 vs Kimi-K2-Instruct

Specs, VRAM requirements and download trends — updated 21 September 2026.

deepseek-ai · A
Params
684.5 B
Context
163,840
30d
1.1 M
moonshotai · B
Params
1,026.5 B
Context
131,072
30d
219 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3 Kimi-K2-Instruct
Parameters 684.5 B 1,026.5 B
Architecture DeepseekV3ForCausalLM DeepseekV3ForCausalLM
Context length 163,840 131,072
Licence other
Commercial use Unknown Unknown
Languages
Downloads 30d 1,113,783 218,841
Downloads all time 21.0 M 4.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-12-25 2025-07-11

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

1.2 M162 K
DeepSeek-V3 Kimi-K2-Instruct

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

DeepSeek-V3 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit
Kimi-K2-Instruct · fp16 @ 128K ctx 3,596.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons