A Google model that performs like a Pro model with the speed of a Flash model. Multi-modal inputs and outputs, native tool use, great for agentic workflows.
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 2.0 Flash is a powerful language model from Google, designed for both text and visual inputs, offering enhanced functionality, multilingual support, and the ability to perform tool calling.
Gemini 2.0 Flash supports a context window of up to 1,048,576 tokens, enabling it to handle large and complex inputs effectively.
Gemini 2.0 Flash can generate up to 8,192 tokens in a single output, making it suitable for detailed responses and complex tasks.
Gemini 2.0 Flash was released on December 11, 2024.
The knowledge cut-off date for Gemini 2.0 Flash is August 1, 2024.
Yes, Gemini 2.0 Flash supports tool calling, allowing it to use external tools as part of its operations.
Yes, Gemini 2.0 Flash supports vision capabilities, allowing it to process and analyze visual inputs like images.
Yes, Gemini 2.0 Flash supports multiple languages, making it suitable for global applications.
Yes, Gemini 2.0 Flash can be fine-tuned on custom datasets to improve its performance for specific tasks.
You can find the official documentation for Gemini 2.0 Flash here.
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