So here's what happened: i Spent $47 Last Month Testing Every AI API So You Don't Have To
Last spring I took on a contract that needed GPT-4 level reasoning for a client's chatbot. The thing is, I'm a one-person shop with two laptops and a cat who occasionally walks across my keyboard. I don't have procurement teams, legal departments, or a fancy SLA clause in my contract with the client. What I have is billable hours, and every dollar I spend on API costs comes straight out of my margin.
So I did what any scrappy developer would do. I spent four weekends and roughly $47 of my own money testing AI APIs across six different providers to figure out what actually makes sense for small operators versus enterprise teams. Here's what I learned.
This whole thing started because a potential client asked me "which AI API should we use?" and I realized my answer was basically vibes. I had used OpenAI directly, played with Anthropic, heard good things about DeepSeek. But I couldn't tell them with any confidence what the right move was for a bootstrapped startup versus a Fortune 500 company. So I ran the numbers myself.
The core finding: the advice "just go direct to the provider" is mostly wrong for anyone not sitting inside a Fortune 500 IT department. And the alternative isn't just one more middleman markup. Global API gives me access to 184 models through a single key, and their credit system never lets credits expire. For enterprise clients, they also run a Pro Channel with SLAs and dedicated capacity. But more on that side hustle angle in a minute.
