Academy
Choosing the Right Model in OUPI
Learn how to pick the best AI model for every task. This course walks you through the four model families, the five criteria that matter, cost management, automatic model selection, and how to switch models mid-conversation — so you always get the best answer at the right price.
Course outline
1
Why OUPI Offers Multiple Models
Understand why a multi-provider, multi-model platform gives you better results and less risk than relying on a single model.
2
The Four Model Families
Identify the four families — frontier, balanced, fast, and specialist — and know which models belong to each.
3
Five Criteria for Choosing
Apply the five selection criteria — difficulty, context length, modality, data sensitivity, and budget — to any real task.
4
Specialists: Reasoning, Code, and Live Web
Know when to reach for a reasoning model, a code model, or a live-web model instead of a general-purpose one.
5
Data Sensitivity and Provider Choice
Choose the right provider and model when working with confidential or regulated data, and understand how administrators can restrict model access.
6
Understanding Costs and Credits
Grasp how credits scale with tokens and model weight, and learn the balanced-plus-frontier strategy to control spending.
7
Automatic Model Selection
Use OUPI's automatic model selection to get a good answer without choosing manually, and know when to override it.
8
Switching Models Mid-Conversation
Switch to a different model during a conversation to compare answers or escalate a difficult turn, without losing history.
Take this course in OUPI
Progress, quiz and certificate in your account — 8 questions to check what you learned and earn a certificate, in your OUPI workspace.