Discover Google Gemini 2.0 Flash Experimental

Experience fast, multimodal AI with Gemini 2.0 Flash.

Input: text · image Output: text Context: 1,048,576 tokens Release: 2024-12-11

Released on December 11, 2024, Google’s Gemini 2.0 Flash Experimental is designed to handle both text and image inputs, producing text outputs. With a large context window of 1,048,576 tokens, it offers fast token generation while maintaining high-quality responses. This model excels in multimodal understanding, making it suitable for complex tasks that require both text and image processing. It also enhances coding capabilities and follows complex instructions effectively. The model supports various parameters like max tokens, temperature, and tool choice, making it versatile for different applications.

Use Cases

Here are a few ways teams apply Google: Gemini 2.0 Flash Experimental (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate text from image and text inputs quickly

Develop applications with enhanced coding features

Create seamless multimodal experiences

Implement complex instruction-based tasks

Key Features

A quick look at the capabilities that make this model useful in real projects.

Fast time to first token (TTFT)

Handles text and image inputs

Large context window of 1,048,576 tokens

Enhanced multimodal understanding

Improved coding capabilities

Supports complex instruction following

Specs

Overview

Vendor
google

Model ID
google/gemini-2.0-flash-exp:free

Release
2024-12-11

Modalities & context

Input
text · image

Output
text

Context
1,048,576 tokens

Parameters & defaults

Supported parameters: max_tokens, response_format, seed, stop, temperature, tool_choice, tools, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Google: Gemini 2.0 Flash Experimental (free)

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

The Google Gemini 2.0 Flash Experimental is an advanced AI model designed for a variety of natural language processing tasks. It is capable of generating human-like text, summarizing content, and answering questions based on provided input. Typical use cases include content creation, customer support automation, and data analysis. This model can handle multiple languages and adapt to different writing styles, making it versatile for diverse applications. However, users should be aware of its limitations, such as potential inaccuracies in generated content and a reliance on the quality of input data. Additionally, as an experimental version, it may undergo frequent updates and changes that could affect performance. Overall, Gemini 2.0 Flash Experimental serves as a tool for those seeking to enhance their text-based workflows with AI assistance.

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Image

Prompt:

Generate an SVG of a pelican riding a bicycle.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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