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

Supported Models

OpenAI o1-mini

128K

Maximum Context Length

128K

Maximum Output Length

64K

Input Price

$3.00

Output Price

$12.00

OpenAI o1-preview

128K

Maximum Context Length

128K

Maximum Output Length

32K

Input Price

$15.00

Output Price

$60.00

GPT-4o mini

128K

Maximum Context Length

128K

Maximum Output Length

16K

Input Price

$0.15

Output Price

$0.60

GPT-4o

128K

Maximum Context Length

128K

Maximum Output Length

--

Input Price

$2.50

Output Price

$10.00

Using OpenAI in LobeChat

Using OpenAI in LobeChat

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

Step 1: Obtain OpenAI API Key

Register for an OpenAI account. You will need to register using an international phone number and a non-mainland email address.
After registration, go to the API Keys page and click on Create new secret key to generate a new API Key.
Open the creation window

Open the creation window

Create API Key

Create API Key

Retrieve API Key

Retrieve API Key

After registering, you generally have a free credit of $5, but it is only valid for three months.

Step 2: Configure OpenAI in LobeChat

Visit the Settings page in LobeChat
Find the setting for OpenAI under Language Model

Enter API Key

Enter the obtained API Key
Choose an OpenAI model for your AI assistant to start the conversation

Select OpenAI model and start conversation

During usage, you may need to pay the API service provider. Please refer to OpenAI's relevant pricing policies.

You can now engage in conversations using the models provided by OpenAI in LobeChat.

Related Providers

Unitalk facilitates access to AI models via officially deployed APIs. It monitors model usage through a Credits system, where these Credits act as an equivalent to the Tokens used by LLMs

Ollama offers a wide range of models covering code generation, mathematical operations, multilingual processing, and conversational interactions, catering to diverse needs for enterprise-level and localized deployments.

Bedrock is a service provided by Amazon AWS that focuses on offering advanced AI language models and visual models for enterprises. Its model family includes the Claude series from Anthropic and the Llama 3.1 series from Meta, covering a range from lightweight to high-performance options, supporting tasks such as text generation, conversation, and image processing, suitable for enterprise applications of various scales and needs.

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