DeepSeek-R1 vs Llama-3.1-405B-FP8

Specs, VRAM requirements and download trends — updated 10 November 2026.

deepseek-ai · A · Open weights
Params
684.5 B
Context
163,840
30d
1.6 M
mit · commercial OK
meta-llama · B · Open weights
Params
405.9 B
Context
—
30d
465 K
llama3.1 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-R1 Llama-3.1-405B-FP8
Deployment Open weights · also via API Open weights
Parameters 684.5 B 405.9 B
Architecture DeepseekV3ForCausalLM LlamaForCausalLM
Context length 163,840 —
Licence mit llama3.1
Commercial use Allowed Conditional
Languages — 8
Downloads 30d 1,618,845 465,185
Downloads all time 51.3 M 2.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2025-01-20 2024-07-20
API input price / 1M tokens $0.70 not on OpenRouter
API output price / 1M tokens $2.50 not on OpenRouter
Est. cost per 1M input + 1M output tokens $3.20 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index 11.4 not on OpenRouter
AA Coding Index 24.6 not on OpenRouter
AA Agentic Index 1.1 not on OpenRouter
Max output tokens 16,000 not on OpenRouter
API providers — not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

DeepSeek-R1 $3.20

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

8.5 M452 K
DeepSeek-R1 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-R1 · fp16 @ 160K ctx 2,811.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons