When Fine-Tuning Beats Prompting: Concrete Decision Criteria

Prompting is cheaper, faster to iterate, and preserves model flexibility. Fine-tuning gives better consistency, lower inference cost, and tighter style control. Knowing exactly when to reach for fine-tuning versus sticking with clever prompts saves teams from wasted training budgets on problems that didn't need solving that way.