Seven Ways to Save on API Costs
Use the smallest model that still gives good results. Most apps over-pay because they use a top model for trivial tasks.
2. Trim system prompts ✂️
Every token in the system prompt is billed on every request. Keep instructions tight.
3. Set output caps
Cap max_tokens so the model never rambles past what you need.
4. Cache aggressively 💾
Repeat questions get cached answers. Idempotent endpoints save a lot over a month.
5. Batch & compress
Send multiple items in one request and ask for JSON output in one pass.
6. Use quotas per token 🔒
Hard limits prevent surprise spikes from tests, cron jobs or leaked keys.
7. Watch the logs 📊
| Watch item | Why |
|---|---|
| Top tokens | Find runaway integrations |
| Top models | Spot over-paid choices |
| Failed calls | Retries burn credits |
Apply these and most teams cut their bill by 30-50% 💙.
Frequently asked questions ❓
Which tactic gives the biggest saving?
Right-sizing the model. Most teams over-pay because they use a top model for simple tasks.
Are cached answers billed?
No. Answers served from cache do not consume tokens.
Can I set a monthly budget?
Set quotas per token today; automatic monthly budgets are coming soon.
Does batching change output quality?
Usually not for structured tasks like classification and extraction.
Simple and effective approach.
Clear explanation, well done.
Thanks for the kind words!
Concise and accurate.
Short and to the point, appreciate it.
I appreciate the practical tips.