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
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.

