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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MetaEfficient

Llama 3.2 1B

Nano

Smallest Llama — 1B parameters for ultra-edge inference. Tradeoff: very limited reasoning.

Llama 3.2 1B is a efficient AI model from Meta. It costs $0.040 per million input tokens and $0.040 per million output tokens (blended $0.040/M), with a 128K-token context window.

Released Sep 2024Modalities textOfficial model page ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.040/M
per million input tokens
OUTPUT
$0.040/M
per million output tokens
BLENDED 70/30
$0.040/M
default reference rate · how it's calculated →
CONTEXT
128K
128,000 tokens
What it's good at
  • Smallest Llama
  • Edge / mobile
  • Open weights
Typical use cases
  • On-device routing
  • Tiny-footprint chat
Benchmarks
vs. best public score
MMLU49%
Multitask academic knowledge across 57 subjects.
GPQA Diamond25%
Graduate-level science questions, "Google-proof".
MATH30%
High-school competition math problems.
HumanEval38%
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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in $0.100/Mout $0.350/M
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 3.2 1B cost?

Llama 3.2 1B costs $0.040 per million input tokens and $0.040 per million output tokens, for a blended reference rate of $0.040 per million tokens.

What is Llama 3.2 1B's context window?

Llama 3.2 1B supports up to 128K tokens of context (128,000 tokens).

What is Llama 3.2 1B best for?

Llama 3.2 1B is well suited to Smallest Llama, Edge / mobile and Open weights.

Who makes Llama 3.2 1B?

Llama 3.2 1B is developed and served by Meta. It was released in Sep 2024.