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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MetaEfficient

Llama 3.1 70B

Balanced

The 2024 70B Llama that defined the open-weights chat baseline before Llama 3.3. Still common where hosts haven't upgraded yet.

Llama 3.1 70B is a efficient AI model from Meta. It costs $0.350 per million input tokens and $0.400 per million output tokens (blended $0.365/M), with a 128K-token context window.

Released Jul 2024Modalities textOfficial model page ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.350/M
per million input tokens
OUTPUT
$0.400/M
per million output tokens
BLENDED 70/30
$0.365/M
default reference rate · how it's calculated →
CONTEXT
128K
128,000 tokens
What it's good at
  • Open weights
  • 128K context
  • Wide hosted availability
Typical use cases
  • Self-hosted chat
  • Fine-tune base
  • Cost benchmarking
Benchmarks
vs. best public score
MMLU83%
Multitask academic knowledge across 57 subjects.
GPQA Diamond47%
Graduate-level science questions, "Google-proof".
MATH68%
High-school competition math problems.
HumanEval80%
Python function synthesis from docstrings.
LMArena Elo1248 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 405B
Large · 128K ctx
in $0.800/Mout $0.800/M
Llama 3.1 8B
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Llama 3.2 90B Vision
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in $0.880/Mout $0.880/M
Frequently asked questions

How much does Llama 3.1 70B cost?

Llama 3.1 70B costs $0.350 per million input tokens and $0.400 per million output tokens, for a blended reference rate of $0.365 per million tokens.

What is Llama 3.1 70B's context window?

Llama 3.1 70B supports up to 128K tokens of context (128,000 tokens).

What is Llama 3.1 70B best for?

Llama 3.1 70B is well suited to Open weights, 128K context and Wide hosted availability.

Who makes Llama 3.1 70B?

Llama 3.1 70B is developed and served by Meta. It was released in Jul 2024.