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 3.2 3B Instruct

text->text

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

Llama 3.2 3B Instruct is a efficient AI model from Meta. It costs $0.051 per million input tokens and $0.335 per million output tokens (blended $0.136/M), with a 131K-token context window.

Profile inherited from upstream Llama 3.2 3B ↗ — this is a hosted variant of the same open-weights model.

Released Sep 2024Modalities textOfficial model page ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.051/M
per million input tokens
OUTPUT
$0.335/M
per million output tokens
BLENDED 70/30
$0.136/M
default reference rate · how it's calculated →
CONTEXT
131K
131,072 tokens
What it's good at
  • Runs on-device
  • Open weights
  • 128K context
Typical use cases
  • Mobile/edge assistants
  • On-device summarisation
Benchmarks
vs. best public score
Scores inherited from Llama 3.2 3B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU63%
Multitask academic knowledge across 57 subjects.
GPQA Diamond27%
Graduate-level science questions, "Google-proof".
MATH48%
High-school competition math problems.
HumanEval50%
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 Instruct cost?

Llama 3.2 3B Instruct costs $0.051 per million input tokens and $0.335 per million output tokens, for a blended reference rate of $0.136 per million tokens.

What is Llama 3.2 3B Instruct's context window?

Llama 3.2 3B Instruct supports up to 131K tokens of context (131,072 tokens).

What is Llama 3.2 3B Instruct best for?

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

Who makes Llama 3.2 3B Instruct?

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