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What are AI Models?

AI models are the engine behind your AI Agent. They process input (like customer questions) and generate output (like answers). Each model has unique strengths in reasoning, speed, memory, and language capabilities. Understanding these differences helps you build a more effective AI Agent.

How to choose the best model for your Agent?

1

Define your AI Agent’s primary function

Is it answering FAQs, guiding users through tasks, or automating actions?
2

Set your priorities

What is the most important thing the Agent should do?
  • Speed: Do you want fast replies, or can the Agent take some more time?
  • Length of answers: Does the Agent need to give long answers, or quick and short?
  • Sources: How many sources does the Agent need for answering questions?
3

Pick the best model for your use case

Use the table below to find the best model for your situation:
Model recommendation note
AI Engine 2.0 introduces GPT 5.4 Nano and GPT 5.4 Mini as the recommended models. Other models may still be available in the platform, but for new and upgraded Agents, customers should be guided toward these two models because they are optimized for AI Engine 2.0.Use GPT 5.4 Nano when speed, scale, and simple automation are the main priorities.Use GPT 5.4 Mini for most other use cases, especially when conversations are more complex, the knowledge base is larger, accuracy matters more, or the Agent needs to use Actions.
If you choose GPT-5 as your model, it’s essential to include an instruction in your Agent’s setup that clearly states it is not allowed to independently execute tasks or take actions.

GPT-5 has advanced reasoning and autonomy, so without this kind of instruction, it may try to take initiative where it shouldn’t.
Example instruction: “You are not allowed to take actions, complete tasks, or trigger workflows.”

Missing your use case in the above schedule?

Compare the different models below to find the best match. The questions below can help you.
  • Do you need fast responses? Go for a mini or nano version of your preferred model
  • Do you want the Agent to be able to handle a lot of information? Use a model with a high context window.
  • Do you want the Agent to provide detailed answers? Go for a model with high output tokens.
  • Do you want the Agent to think well, make connections, and solve complex tasks? Go for an Agent with high reasoning.
You can always test different models and compare them using the Playground.