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Llama 3.2 3B Instruct

3B

by Meta

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it supports eight languages, including English, Spanish, and Hindi, and is adaptable for additional languages. Trained on 9 trillion tokens, the Llama 3.2 3B model excels in instruction-following, complex reasoning, and tool use. Its balanced performance makes it ideal for applications needing accuracy and efficiency in text generation across multilingual settings. Click here for the [original model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/MODEL_CARD.md). Usage of this model is subject to [Meta's Acceptable Use Policy](https://www.llama.com/llama3/use-policy/).

Chat with Llama 3.2 3B Instruct
Input Price$0.08/1M tokens
Output Price$0.08/1M tokens
Intelligence9.7
CodingN/A

Specifications

Technical details and pricing.

ProviderMeta
Context Window131,072 tokens
Release DateSep 25, 2024
ModalitiesText

Benchmarks

11 benchmark scores from Artificial Analysis.

GPQA25.5%
MMLU Pro34.7%
HLE5.2%
LiveCodeBench8.3%
MATH 50048.9%
AIME 20253.3%
AIME6.7%
SciCode5.2%
LCR2.0%
IFBench26.2%
Tau221.1%

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Frequently Asked Questions

What is Llama 3.2 3B Instruct good for?

Use Llama 3.2 3B Instruct for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Llama 3.2 3B Instruct cost?

Pricing is based on usage. Current rates are $0.08/1M tokens for input and $0.08/1M tokens for output.

Can I try Llama 3.2 3B Instruct for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does Llama 3.2 3B Instruct support images or audio?

Llama 3.2 3B Instruct focuses on text-based tasks.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.