LobeChat
Ctrl K
Back to Discovery
AI360AI360
@360 AI
4 models
360 AI is an AI model and service platform launched by 360 Company, offering various advanced natural language processing models, including 360GPT2 Pro, 360GPT Pro, 360GPT Turbo, and 360GPT Turbo Responsibility 8K. These models combine large-scale parameters and multimodal capabilities, widely applied in text generation, semantic understanding, dialogue systems, and code generation. With flexible pricing strategies, 360 AI meets diverse user needs, supports developer integration, and promotes the innovation and development of intelligent applications.

Supported Models

AI360
Maximum Context Length
8K
Maximum Output Length
7K
Input Price
$0.70
Output Price
$0.70
Maximum Context Length
8K
Maximum Output Length
7K
Input Price
$0.70
Output Price
$0.70
Maximum Context Length
8K
Maximum Output Length
7K
Input Price
$0.28
Output Price
$0.28
Maximum Context Length
8K
Maximum Output Length
2K
Input Price
$0.28
Output Price
$0.28

Using the 360AI in LobeChat

cover

The 360AI is a cognitive general model independently developed by 360 Company, aimed at providing powerful natural language processing capabilities for enterprises and developers. This model has been upgraded to version 4.0 and supports various application scenarios, including conversational services, image generation, vector database services, and more.

This article will guide you on how to use the 360AI in LobeChat.

Step 1: Obtain the 360AI API Key

  • Register and log in to the 360AI API Open Platform
  • Click on the API Keys menu on the left
  • Create an API key and copy it
Create API Key

Step 2: Configure 360AI in LobeChat

  • Access the Settings interface in LobeChat
  • Under Language Models, find the option for 360
Enter API Key
  • Enter the API key you obtained
  • Choose a 360AI model for your AI assistant to start chatting
Select 360 Model and Start Chatting

Please note that you may need to pay the API service provider during use, refer to the relevant pricing policy of the 360AI.

You can now use the models provided by the 360AI for conversations in LobeChat.

Related Providers

OpenAIOpenAI
@OpenAI
22 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.
OllamaOllama
@Ollama
40 models
Ollama provides models that cover a wide range of fields, including code generation, mathematical operations, multilingual processing, and conversational interaction, catering to diverse enterprise-level and localized deployment needs.
Anthropic
ClaudeClaude
@Anthropic
8 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.
AWS
BedrockBedrock
@Bedrock
14 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.
Google
GeminiGemini
@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.