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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Llama 3.1 70B Instruct

text->text

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 Instruct is a efficient AI model from Meta. It costs $0.400 per million input tokens and $0.400 per million output tokens (blended $0.400/M), with a 131K-token context window.

Profile inherited from upstream Llama 3.1 70B ↗ — this is a hosted variant of the same open-weights model.

Released Jul 2024Modalities textOfficial model page ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.400/M
per million input tokens
OUTPUT
$0.400/M
per million output tokens
BLENDED 70/30
$0.400/M
default reference rate · how it's calculated →
CONTEXT
131K
131,072 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
Scores inherited from Llama 3.1 70B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
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 70B
Balanced · 128K ctx
in $0.350/Mout $0.400/M
Llama 3.1 8B
Compact · 128K ctx
in $0.100/Mout $0.100/M
Frequently asked questions

How much does Llama 3.1 70B Instruct cost?

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

What is Llama 3.1 70B Instruct's context window?

Llama 3.1 70B Instruct supports up to 131K tokens of context (131,072 tokens).

What is Llama 3.1 70B Instruct best for?

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

Who makes Llama 3.1 70B Instruct?

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