A team must pick a model for a new feature. What is the fundamental trade-off across model tiers?

• AMore capable models generally cost more and run slower, so you match the tier to the task's difficulty
• BMore capable models are always cheaper and faster, so the largest model is the right default everywhere
• CAll models cost and perform identically, so the choice among tiers has no effect on the result at all
• DSmaller models are always more accurate, so the least capable tier should be the default for every task