DeepSeek-V3.2 vs Llama-3.1-405B-FP8

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

deepseek-ai · A
Params
685.4 B
Context
163,840
30d
2.5 M
mit · commercial OK
meta-llama · B
Params
405.9 B
Context
30d
465 K
llama3.1 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3.2 Llama-3.1-405B-FP8
Parameters 685.4 B 405.9 B
Architecture DeepseekV32ForCausalLM LlamaForCausalLM
Context length 163,840
Licence mit llama3.1
Commercial use Allowed Conditional
Languages 8
Downloads 30d 2,488,767 465,220
Downloads all time 24.5 M 1.9 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2025-12-01 2024-07-20

Download trend

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

2.5 M419 K
DeepSeek-V3.2 Llama-3.1-405B-FP8

VRAM side by side

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

Llama-3.1-405B-FP8 · fp16 597.3 GB / 24 GB
❌ Won’t fit
DeepSeek-V3.2 · fp16 @ 160K ctx 2,815.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons