Multimodal model, ideal for visual intelligence in image analysis, document processing, multimodal chatbots, and autonomous systems
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 90B Instruct has a cost structure of $2.04 per million input tokens and $2.04 per million output tokens when hosted on Azure.
The API cost for Llama 3.2 90B Instruct is $2.04 per million input tokens and $2.04 per million output tokens when hosted on Azure.
For Llama 3.2 90B Instruct, the price is $0.00204 per 1,000 input tokens and $0.00204 per 1,000 output tokens when hosted on Azure.
Llama 3.2 90B Instruct supports a context window of up to 128,000 tokens.
Llama 3.2 90B Instruct can generate up to 2,048 tokens in a single output.
Llama 3.2 90B Instruct was released on September 25, 2024.
The knowledge cut-off date for Llama 3.2 90B Instruct is December 1, 2023.
Yes, Llama 3.2 90B Instruct supports vision capabilities.
Yes, Llama 3.2 90B Instruct supports tool calling (functions).
Yes, Llama 3.2 90B Instruct supports multiple languages, allowing it to handle input and output in several languages.
Yes, Llama 3.2 90B Instruct supports fine-tuning.
You can find the official documentation for Llama 3.2 90B Instruct on Meta’s GitHub page: Llama 3.2 90B Instruct Documentation
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