DeepSeek-V4-Flash vs Llama-3.1-405B-FP8

Specs, VRAM requirements and download trends — updated 6 August 2026.

deepseek-ai · A
Params
158.1 B
Context
1,048,576
30d
2.7 M
mit · commercial OK
meta-llama · B
Params
405.9 B
Context
30d
493 K
llama3.1 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V4-Flash Llama-3.1-405B-FP8
Parameters 158.1 B 405.9 B
Architecture DeepseekV4ForCausalLM LlamaForCausalLM
Context length 1,048,576
Licence mit llama3.1
Commercial use Allowed Conditional
Languages 8
Downloads 30d 2,737,621 493,412
Downloads all time 9.4 M 1.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2026-04-22 2024-07-20

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

3.1 M419 K
DeepSeek-V4-Flash 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-V4-Flash · fp16 @ 1024K ctx 3,211.0 GB / 24 GB
❌ Won’t fit

Adjacent comparisons