Google's smallest model for lower intelligence use cases with a 1 million token context window
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
Gemini 1.5 Flash-8B has a cost structure of $0.0375 per million input tokens for prompts up to 128k tokens and $0.15 per million output tokens for prompts up to 128k tokens.
The API cost for Gemini 1.5 Flash-8B is $0.0375 per million input tokens and $0.15 per million output tokens for prompts up to 128k tokens.
For Gemini 1.5 Flash-8B, the price is $0.0000375 per 1,000 input tokens and $0.00015 per 1,000 output tokens.
Gemini 1.5 Flash-8B supports a context window of up to 1,048,576 tokens, ideal for processing extensive input.
Gemini 1.5 Flash-8B can generate up to 8,192 tokens in a single output.
Gemini 1.5 Flash-8B was released on October 3, 2024.
Yes, Gemini 1.5 Flash-8B supports vision capabilities.
Yes, Gemini 1.5 Flash-8B supports tool calling (functions).
Yes, Gemini 1.5 Flash-8B supports multiple languages, allowing it to handle input and output in several languages.
Yes, Gemini 1.5 Flash-8B supports fine-tuning. The model version gemini-1.5-flash-002 can be fine-tuned.
You can find the official documentation for Gemini 1.5 Flash-8B on Google’s website: Gemini 1.5 Flash-8BDocumentation
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