Why GPT API cost exceeds expectations
Common causes include long prompts, unlimited chat history, retries, test scripts left running and API keys that are not separated by project.
OpenAI API pricing
Keep GPT API token costs under control
GPT API budgets often grow because traffic, context length and retries scale after launch, not because a single request looks expensive.
Review by request
See GPT consumption by key, project or usage pattern.
Good for experiments
Run real calls with small credits before expanding budget.
Model choice support
Pick GPT or other models based on task complexity and cost.
Where cost optimization starts
Start with observability: average tokens, call counts and failure rates per feature. Then improve prompts, trim context and add caching.
FAQ
Is GPT API suitable for pay-as-you-go credits?
Yes. It works especially well while usage is still changing and teams want tighter budget control.
How can I find the most expensive feature?
Split keys by project or feature, then compare usage records and token consumption.