OpenAI Pricing Explained

OpenAI pricing can look confusing because the real cost depends on model choice, input volume, output volume, and how your workflow is designed. The important part is not memorizing price tables. It is understanding the billing logic.

The pricing logic

• Model choice changes the base rate
  More capable models usually cost more per unit of usage.
• Input and output are both important
  You pay for what you send and what the model returns.
• Workflow design can multiply cost fast
  Long prompts, repeated context, retries, and multiple chained steps all add up.

How to estimate without getting lost

1. Define your average prompt size.
2. Estimate average response size.
3. Multiply by requests per day or per month.
4. Stress-test your estimate for growth and retries.

Best practice

Before you commit to an API-heavy workflow, test a small sample, measure real usage, and build a margin for unexpected expansion. Guessing from one example prompt is usually too optimistic.