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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:
Use caseExamplesRecommended Models
Basic conversations
(Customer service)
FAQ questions
Delivery status checks
Booking confirmations.
GPT-5-mini or GPT-4.1-mini:
Both very fast models.
GPT-5-mini is aware of date
GPT-4.1-mini has a bigger context window
Longer/more complex customer journeysInsurance claims
Onboarding processes
Resolving complex questions across multiple messages
GPT-4.1 or GPT-4.1-mini:
Both have a large context memory GPT-4.1 is a bit smarter
GPT-4.1-mini is faster.
Smart, complex conversationsGuiding customers through troubleshooting, legal compliance, or internal IT policies.GPT-5 or o3. These models offer the highest reasoning. o3 has the highest reasoning of all, but takes a long time to generate answers.
Internal Support Agents (HR/IT/Finance related questions)Handling leave requests
Password resets
Explaining payroll in natural language.
GPT-4.1-mini or GPT-5-mini for strong memory and high reasoning.
GPT-4.1-mini has a bigger context window, GPT-5-mini is aware of date
Multilingual supportSupport agents that switch smoothly between languagesGPT-5 or GPT-4.1 both have high reasoning and strong language capabilities.
Agent needs to know date and timeResponding to questions about reservations, new launches, pricing changes, or policy updates.GPT-5.1GPT-5, or GPT-5-mini. These Agents have awareness of date and time and also have the most recent knowledge cut off.
Agent needs to execute ActionsAgents that trigger workflows, create structured CRM entries, book meetings, or perform multistep automations.Use GPT-5 or GPT-4.1 for their strong reasoning, structured outputs, and high capacity. GPT-5 will take longer to generate answers.
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 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.
ModelReasoningSpeedInputOutputContext WindowMax Output TokensKnowledge Cutoff
GPT-5.1HighestMediumText, ImageText500,000200,000Dec 01, 2024
GPT-5HigherMediumText, ImageText400,000128,000Oct 01, 2024
GPT-5-miniHighFastText, ImageText400,000128,000May 31, 2024
GPT-4.1HigherMediumText, ImageText1,047,576128,000Jun 01, 2024
GPT-4.1-miniHighFastText, ImageText1,047,57632,768Jun 01, 2024
GPT-4oHighMediumText, ImageText128,00016,384Oct 01, 2023
o3HighestSlowestText, ImageText200,000100,000Jun 01, 2024
o3-miniHigherMediumTextText200,000100,000Oct 01, 2023
You can always test different models and compare them using the Playground.