Google Gemini 2.0 Flash (1M)

Google Gemini 2.0 Flash (1M) is Google's latest experimental model with breakthrough multimodal capabilities developed by Google. It was released in 2024-12 and features a context window of 1M tokens. Its key features include: Next-generation multimodal capabilities, 1M token context window, Extremely cost-effective, Enhanced reasoning and coding, Native tool use and function calling. It is designed for use cases such as: High-volume applications, Multimodal content generation, Cost-sensitive deployments, Real-time applications, Experimental AI research.

Google Gemini 2.0 Flash (1M) is well-suited for tasks like: High-volume applications, Multimodal content generation, Cost-sensitive deployments, Real-time applications, Experimental AI research.

The context window for Google Gemini 2.0 Flash (1M) is 1M tokens.

Google Gemini 2.0 Flash costs $0.075 per million input tokens and $0.30 per million output tokens, making it extremely cost-effective for high-volume applications.

Gemini 2.0 Flash is released as an experimental model, meaning it represents cutting-edge capabilities that Google is testing and refining. It features breakthrough multimodal capabilities and enhanced reasoning that may not yet be fully optimized for all production use cases.

Gemini 2.0 Flash features next-generation multimodal capabilities, allowing it to process and understand text, images, audio, video, and code inputs seamlessly. This makes it suitable for complex multimodal content generation and analysis tasks.

Yes, Gemini 2.0 Flash is designed for real-time applications. Its combination of enhanced reasoning, cost-effectiveness, and efficient processing makes it well-suited for applications requiring quick responses and real-time interaction.

Yes, Gemini 2.0 Flash features native tool use and function calling capabilities, allowing it to interact with external systems and APIs to perform complex tasks beyond text generation.

Gemini 2.0 Flash represents the latest generation with breakthrough multimodal capabilities and enhanced reasoning compared to earlier Gemini models. It's designed to be extremely cost-effective while offering cutting-edge performance, making it ideal for high-volume and experimental applications.

Information on accessing Google Gemini 2.0 Flash (1M) can typically be found on the provider's website: https://deepmind.google/technologies/gemini/

The training data cutoff for Google Gemini 2.0 Flash is November 2024.