Meta
Meta
Frontier

Llama 3.1 405B

Large

Largest dense Llama. Used as a quality benchmark for open weights, heavy to run, often hosted via Together / DeepInfra / Cerebras.

Llama 3.1 405B is a frontier AI model from Meta. It costs $0.800 per million input tokens and $0.800 per million output tokens (blended $0.800/M), with a 128,000-token context window.

INPUT
$0.800/M
per million input tokens
OUTPUT
$0.800/M
per million output tokens
BLENDED 70/30
$0.800/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Top open-weights quality
  • Permissive license
  • Strong reasoning
Typical use cases
  • Open-weights quality ceiling
  • Synthetic data generation
  • Distillation source

Benchmarks

vs. best public score
MMLU88%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH73%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1290 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Llama 3.1 405B cost?

Llama 3.1 405B costs $0.800 per million input tokens and $0.800 per million output tokens, for a blended reference rate of $0.800 per million tokens.

What is Llama 3.1 405B's context window?

Llama 3.1 405B supports up to 128,000 tokens of context in a single request.

What is Llama 3.1 405B best for?

Llama 3.1 405B is well suited to Top open-weights quality, Permissive license and Strong reasoning.

Who makes Llama 3.1 405B?

Llama 3.1 405B is developed and served by Meta.

Compared with

Terms used on this page