OpenAI GPTs vs Assistants

In early November 2023, OpenAI announced the release of GPTs and Assistants, which are two products that allow developers to extend and build upon the GPT-4 LLM model. Put simply, they allow you to do all sorts of cool stuff not previously possible.


  • Specialized versions of ChatGPT avail on website and app
  • No-code development options
  • Multi-modal capabilities
  • User-friendly creation process
  • Requires ChatGPT subscription

Assistants API

  • Simplifies AI assistant development
  • Persistent threading for conversations
  • Stateful models
  • Enhanced function-calling capability
  • Integration into your website
The main difference between these two OpenAI products:

GPTs are availble only through ChatGPT app and website, and only for subscribers, which means they are best for internal or personal use.

Assistants can be intergated into your own website or app, so they are better at the moment for customer-facing products. They are also a little more complex to develop, and there is a cost per use.

Detailed Overview of GPTs

  • πŸ” Specialization & Customization
    Advanced, tailored versions of ChatGPT for specific tasks, suitable for bespoke AI interactions.
  • πŸ§‘β€πŸ’» No-Code Development
    User-friendly development for non-technical users, making AI accessible and easy to use.
  • πŸ–ΌοΈ Multi-Modal Capabilities
    Incorporates visual and coding abilities, extending capabilities beyond text.
  • πŸ‘¨β€πŸ« User-Friendly Creation Process
    Guided development steps in OpenAI’s editor for easy concept-to-creation transition.
  • πŸ”— API Integration
    Facilitates interactions with public APIs, expanding application possibilities.
  • 🚧 Limitations
    Potential for inaccuracies and response delays; may not suit highly complex tasks.

Detailed Overview of Assistants API

  • πŸ› οΈ Simplification of Development
    Dramatically eases AI assistant creation, handling complex tasks and data management.
  • 🧡 Persistent Threading
    Manages user interactions in separate threads for streamlined conversation management.
  • 🧠 Stateful Models
    Improves memory management and contextual understanding in conversations.
  • πŸ”§ Enhanced Functionality
    Advanced features like code interpretation and retrieval for sophisticated AI development.
  • πŸ” Retrieval Capabilities
    Facilitates the incorporation of external data into responses for dynamic interactions.
  • 🚩 Considerations
    Limited customization for intricate solutions and dependency on a single LLM provider.