Claude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/MClaude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/M
Groq
Groq
Efficient

Llama 3.2 3B (Groq)

Fast Micro

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

Llama 3.2 3B (Groq) is a efficient AI model from Groq. 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.

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

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
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.
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.

More from Groq

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Frequently asked questions

How much does Llama 3.2 3B (Groq) cost?

Llama 3.2 3B (Groq) 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 (Groq)'s context window?

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

What is Llama 3.2 3B (Groq) best for?

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

Who makes Llama 3.2 3B (Groq)?

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

Terms used on this page