Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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MetaFrontier

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 128K-token context window.

Modalities textOfficial model page ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.800/M
per million input tokens
OUTPUT
$0.800/M
per million output tokens
BLENDED 70/30
$0.800/M
default reference rate · how it's calculated →
CONTEXT
128K
128,000 tokens
What it's 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.
GPQA Diamond51%
Graduate-level science questions, "Google-proof".
MATH73%
High-school competition math problems.
HumanEval89%
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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Llama 3.3 70B
Open · 128K ctx
in $0.230/Mout $0.400/M
Llama 3.1 70B
Balanced · 128K ctx
in $0.350/Mout $0.400/M
Llama 3.1 8B
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in $0.100/Mout $0.100/M
Llama 3.2 90B Vision
Vision · 128K ctx
in $0.880/Mout $0.880/M
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 128K tokens of context (128,000 tokens).

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.