Gemini 1.5 Flash is a cost-efficient, high-speed foundation llm optimized for multimodal tasks, ideal for applications requiring rapid processing and scalability

Model is trained and ready for deployment

gemini-1_5-flash

The maximum number of tokens to generate. Shorter token lengths will provide faster performance.

A decimal number that determines the degree of randomness in the response

The top-k parameter limits the model's predictions to the top k most probable tokens at each step of generation.

An alternative to sampling with temperature, where samples from the top p percentage of most likely tokens.

A system prompt sets the behavior and context for an AI assistant in a conversation, such as modifying its personality.

An alternative to sampling with temperature, where the model considers the results of the tokens with top_p probability mass.

Gemini 1.5 Flash is a cost-efficient, high-speed foundation llm optimized for multimodal tasks, ideal for applications requiring rapid processing and

Run with API