Llama-3.2-3B
Llama-3.2-3B is an AI model published by Facebook AI Research Lab, released on 2024-09-18, for Foundation model, with 3.2B parameters, and 128K context length, requiring about 6.43GB storage, with a 593.50 score on Creative Writing.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.020/ 1M tokens | $0.020/ 1M tokens |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
Llama-3.2-3B currently shows benchmark results led by MBPP (71 / 96, score 48.70), GSM8K (53 / 70, score 34), MMLU (101 / 124, score 54.75). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
4 evaluationsCoding and Software Engineer
2 evaluationsWriting and Creative Capabilities
1 evaluationsPublisher
Model Overview
Llama-3.2-3B is an AI model published by Facebook AI Research Lab, released on 2024-09-18, for Foundation model, with 3.2B parameters, and 128K context length, requiring about 6.43GB storage, with a 593.50 score on Creative Writing.
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