Meta
Meta
Efficient

Llama 3.2 3B

Micro

Edge-targeted Llama 3.2, designed for on-device assistants on phones and laptops.

Llama 3.2 3B is a efficient AI model from Meta. It costs $0.060 per million input tokens and $0.060 per million output tokens (blended $0.060/M), with a 128,000-token context window.

INPUT
$0.060/M
per million input tokens
OUTPUT
$0.060/M
per million output tokens
BLENDED 70/30
$0.060/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Runs on-device
  • Open weights
  • 128K context
Typical use cases
  • Mobile/edge assistants
  • On-device summarisation

Benchmarks

vs. best public score
MMLU63%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH48%
High-school competition math problems.
Python function synthesis from docstrings.
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 3.2 3B cost?

Llama 3.2 3B costs $0.060 per million input tokens and $0.060 per million output tokens, for a blended reference rate of $0.060 per million tokens.

What is Llama 3.2 3B's context window?

Llama 3.2 3B supports up to 128,000 tokens of context in a single request.

What is Llama 3.2 3B best for?

Llama 3.2 3B is well suited to Runs on-device, Open weights and 128K context.

Who makes Llama 3.2 3B?

Llama 3.2 3B is developed and served by Meta. It was released in Sep 2024.

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