What is the primary difference between Claude's three model families (Opus, Sonnet, Haiku)?	They are optimized differently: one for intelligence, one for speed/cost efficiency, and one for balance.
Which model is Claude's most capable and is designed for complex, long-running tasks?	Opus, which delivers the highest level of intelligence.
What are the main trade-offs associated with using Opus?	It has moderate latency and a higher cost.
Which model is optimized for speed and cost efficiency, making it ideal for real-time interactions?	Haiku.
What key capability does Haiku lack compared to Opus and Sonnet?	It does not support reasoning.
Where does Sonnet sit in Claude's lineup, and what is its primary strength?	It sits in the "sweet spot," offering a good balance of intelligence, speed, and cost.
If a use case requires strong reasoning and complex planning, which model should be prioritized?	Opus (choosing quality over speed and cost).
If speed and real-time user interaction are the highest priorities, which model should be chosen?	Haiku (choosing speed and cost efficiency).
Can a single model be used for all tasks within an application?	No, multiple models can be used (e.g., Haiku for speed, Sonnet for logic, Opus for complex tasks).