Multimodal model for text and image input/output, ideal for visual intelligence tasks like image analysis, document processing, and multimodal chatbots
The company that provides the model
The number of tokens you can send in a prompt
The maximum number of tokens a model can generate in one request
The cost of prompt tokens sent to the model
The cost of output tokens generated by the model
When the model's knowledge ends
When the model was launched
Capability for the model to use external tools
Ability to process and analyze visual inputs, like images
Support for multiple languages
Whether the model supports fine-tuning on custom datasets
Llama 3.2 11B Instruct has a cost structure of $0.37 per million input tokens and $0.37 per million output tokens when hosted on Azure.
The API cost for Llama 3.2 11B Instruct is $0.37 per million input tokens and $0.37 per million output tokens when hosted on Azure.
For Llama 3.2 11B Instruct, the price is $0.00037 per 1,000 input tokens and $0.00037 per 1,000 output tokens when hosted on Azure.
Llama 3.2 11B Instruct supports a context window of up to 128,000 tokens.
Llama 3.2 11B Instruct can generate up to 2,048 tokens in a single output.
Llama 3.2 11B Instruct was released on September 25, 2024.
The knowledge cut-off date for Llama 3.2 11B Instruct is December 1, 2023.
Yes, Llama 3.2 11B Instruct supports vision capabilities.
Yes, Llama 3.2 11B Instruct supports tool calling (functions).
Yes, Llama 3.2 11B Instruct supports multiple languages, allowing it to handle input and output in several languages.
Yes, Llama 3.2 11B Instruct supports fine-tuning.
You can find the official documentation for Llama 3.2 11B Instruct on Meta’s GitHub page: Llama 3.2 11B Instruct Documentation
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