How to Reduce AI API Costs
Practical ways to reduce LLM API costs without materially hurting output quality.
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Learn this topic with a mentor
Don't want to wait for the webinar? Pick how you'd like help. Nothing is paid now — you see the fee before anything is booked.
- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Understanding where your costs come from: input tokens, output tokens and calls
- 2Shortening prompts and context without losing quality
- 3Caching repeated requests and responses
- 4Using smaller models for simpler steps
- 5Batching and limiting unnecessary calls
- 6Monitoring usage and setting budgets
Who it's for
- • Developers running AI features
- • Teams concerned about growing AI bills
You'd leave with
- A cost audit approach
- Concrete cost-reduction techniques
- A monitoring setup plan
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