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Efficient

Llama 3 70B

Previous Gen

Original Llama 3 70B from April 2024. Largely superseded by Llama 3.1/3.3, but still common in fine-tuned variants.

Llama 3 70B is a efficient AI model from Meta. It costs $0.590 per million input tokens and $0.790 per million output tokens (blended $0.650/M), with a 8,000-token context window.

INPUT
$0.590/M
per million input tokens
OUTPUT
$0.790/M
per million output tokens
BLENDED 70/30
$0.650/M
unchanged since 3 May
CONTEXT
8,000
tokens
What it is good at
  • Open weights
  • 8K base context (extended via fine-tunes)
  • Fine-tune base
Typical use cases
  • Existing Llama 3 fine-tunes
  • Migration to 3.1/3.3

Benchmarks

vs. best public score
MMLU80%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH50%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1206 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 70B cost?

Llama 3 70B costs $0.590 per million input tokens and $0.790 per million output tokens, for a blended reference rate of $0.650 per million tokens.

What is Llama 3 70B's context window?

Llama 3 70B supports up to 8,000 tokens of context in a single request.

What is Llama 3 70B best for?

Llama 3 70B is well suited to Open weights, 8K base context (extended via fine-tunes) and Fine-tune base.

Who makes Llama 3 70B?

Llama 3 70B is developed and served by Meta. It was released in Apr 2024.

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