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 128,000-token context window.
INPUT
$0.040/M
per million input tokens
OUTPUT
$0.040/M
per million output tokens
CONTEXT
128,000
tokens
What it is good at
- Smallest Llama
- Edge / mobile
- Open weights
Typical use cases
- On-device routing
- Tiny-footprint chat
Benchmarks
vs. best public score
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 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 128,000 tokens of context in a single request.
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.