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 54.75 score on MMLU.
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 | $0.020/ 1M |
Benchmark Results
Llama-3.2-3B currently shows benchmark results led by GSM8K (23 / 26, score 34), BBH (19 / 21, score 46.80), GPQA Diamond (179 / 187, score 26.60). 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
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Publisher
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 54.75 score on MMLU.
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