Ctrl K

Supported Models

Gemini 2.5 Pro Experimental 03-25

gemini-2.5-pro-exp-03-25

Maximum Context Length

Maximum Output Length

64K

Input Price

Output Price

Gemini 2.0 Pro Experimental 02-05

gemini-2.0-pro-exp-02-05

Maximum Context Length

Maximum Output Length

Input Price

Output Price

Gemini 2.0 Flash

gemini-2.0-flash

Maximum Context Length

Maximum Output Length

Input Price

$0.10

Output Price

$0.40

Gemini 2.0 Flash 001

gemini-2.0-flash-001

Maximum Context Length

Maximum Output Length

Input Price

$0.10

Output Price

$0.40

Related Providers

Supported Models

Gemini 2.5 Pro Experimental 03-25

gemini-2.5-pro-exp-03-25

Maximum Context Length

Maximum Output Length

64K

Input Price

Output Price

Gemini 2.0 Pro Experimental 02-05

gemini-2.0-pro-exp-02-05

Maximum Context Length

Maximum Output Length

Input Price

Output Price

Gemini 2.0 Flash

gemini-2.0-flash

Maximum Context Length

Maximum Output Length

Input Price

$0.10

Output Price

$0.40

Gemini 2.0 Flash 001

gemini-2.0-flash-001

Maximum Context Length

Maximum Output Length

Input Price

$0.10

Output Price

$0.40

Related Providers

Using Google Gemini in LobeChat

Gemini AI is a set of large language models (LLMs) created by Google AI, known for its cutting-edge advancements in multimodal understanding and processing. It is essentially a powerful artificial intelligence tool capable of handling various tasks involving different types of data, not just text.

This document will guide you on how to use Google Gemini in LobeChat:

Step 1: Obtain Google API Key

Visit and log in to Google AI Studio
Navigate to Get API Key in the menu and click on Create API Key

Select a project and create an API key, or create one in a new project

Copy the API key from the pop-up dialog

Step 2: Configure OpenAI in LobeChat

Go to the Settings interface in LobeChat
Find the setting for Google Gemini under Language Models

Enable Google Gemini and enter the obtained API key
Choose a Gemini model for your assistant to start the conversation

During usage, you may need to pay the API service provider, please refer to Google Gemini's pricing policy.

Congratulations! You can now use Google Gemini in LobeChat.

Back to Discovery

@Google

12 models

Google's Gemini series represents its most advanced, versatile AI models, developed by Google DeepMind, designed for multimodal capabilities, supporting seamless understanding and processing of text, code, images, audio, and video. Suitable for various environments from data centers to mobile devices, it significantly enhances the efficiency and applicability of AI models.

@OpenAI

24 models

OpenAI is a global leader in artificial intelligence research, with models like the GPT series pushing the frontiers of natural language processing. OpenAI is committed to transforming multiple industries through innovative and efficient AI solutions. Their products demonstrate significant performance and cost-effectiveness, widely used in research, business, and innovative applications.

@Anthropic

11 models

Anthropic is a company focused on AI research and development, offering a range of advanced language models such as Claude 3.5 Sonnet, Claude 3 Sonnet, Claude 3 Opus, and Claude 3 Haiku. These models achieve an ideal balance between intelligence, speed, and cost, suitable for various applications from enterprise workloads to rapid-response scenarios. Claude 3.5 Sonnet, as their latest model, has excelled in multiple evaluations while maintaining a high cost-performance ratio.

@Bedrock

17 models

Bedrock is a service provided by Amazon AWS, focusing on delivering advanced AI language and visual models for enterprises. Its model family includes Anthropic's Claude series, Meta's Llama 3.1 series, and more, offering a range of options from lightweight to high-performance, supporting tasks such as text generation, conversation, and image processing for businesses of varying scales and needs.