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Meta (Llama)text->text

Meta: Llama 3.2 3B Instruct (free)

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/).

Context Window

131K

Input Price

Free

Output Price

Free

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
InputFree
OutputFree

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000000

Context Window Size
Maximum tokens the model can process in a single request
Context Window131K tokens
13% of 1M max

~98K

Words Equivalent

~66

Pages of Text

~1311

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysis

Related Categories:

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