This content originally appeared on DEV Community and was authored by Felix
I Tracked Every Penny I Spent on AI APIs for a Month — Here's What I Learned
A few months ago, I decided to do something painful: track every single API call I made to every AI provider for 30 days.
Not because I'm a masochist. Because my monthly AI bill had quietly crept from "nice to have" to "wait, that's how much?"
Here's what I found.
The Numbers
I was using AI for three main things:
- Coding assistance (GPT-4 + Claude via various tools)
- Content drafting (Claude 3.5 Sonnet)
- Batch processing (GPT-4o-mini for bulk tasks)
| Provider | Monthly Spend | % of Total |
|---|---|---|
| OpenAI (direct) | $47.20 | 41% |
| Anthropic (direct) | $32.80 | 28% |
| OpenRouter | $21.50 | 19% |
| Miscellaneous | $14.10 | 12% |
| Total | $115.60 | 100% |
Where the Waste Was
Three patterns stood out:
1. Same prompt, different models
I was testing the same task across GPT-4 and Claude to compare outputs — and paying for both.
Fix: Pick one primary model per task type, don't cross-test in production.
2. Forgetting to downgrade
I set up a script with GPT-4 for data extraction. Six weeks later, I was still paying GPT-4 prices for simple structured output that GPT-4o-mini could handle perfectly.
Fix: Review your model selection weekly. Tasks change, models release cheaper versions.
3. The "one more test" tax
The biggest hidden cost: casual experimentation on expensive models. "Let me just try this prompt on Claude 3.5 Opus" — five times a day — adds up to about $35/month.
Fix: Set a separate budget for experiments, or use a proxy that routes to cheaper models for non-production work.
What I Changed
After the audit, I consolidated to a single API relay endpoint. Here's the new setup:
One API key → routes to best model per task
→ automatically falls back to cheaper model
→ tracks all spending in one dashboard
The result? Same work, $42.80/month — a 63% reduction.
The Tool That Made It Possible
I was going to build my own routing proxy, but I found one that already existed: YixinToken.
It's an OpenAI-compatible API relay that gives you access to 50+ models through one endpoint. The game-changer for me was:
- No model switching code — change model name in your request, one API key
- Cost tracking — all spending in one dashboard
- No markup on most models — cheaper than going direct to most providers
Full disclosure: I liked it so much I became one of the early users. But you don't have to use it — even just consolidating to fewer providers will save you money.
Your Turn
If you're spending more than $30/month on AI APIs:
- Audit one month of usage (most providers have billing exports)
- Find the waste — duplicate tests, wrong model choices
- Consolidate — one endpoint, one key, one bill
Track your spending for a month. I promise the numbers will surprise you.
Have you tracked your AI API costs? Share your numbers in the comments — I'm curious to see if my $115/month is high or average.
This content originally appeared on DEV Community and was authored by Felix
Felix | Sciencx (2026-06-11T02:35:53+00:00) I Tracked Every Penny I Spent on AI APIs for a Month. Retrieved from https://www.scien.cx/2026/06/11/i-tracked-every-penny-i-spent-on-ai-apis-for-a-month/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.