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.
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