Here's the thing: i built LLM pipelines for a mid-stage fintech before joining Global API's solutions team. Every quarter the same argument came up: do we go direct to OpenAI, route everything through Azure, or layer in an aggregator? What I learned over those months is that the "right" choice depends almost entirely on your failure tolerance — and most teams dramatically underestimate theirs. This post is the matrix I wish someone had handed me on day one.
Why "Just Go Direct" Falls Apart
The piece of conventional wisdom that bothers me most is "skip the middleman, sign up with the model provider directly." On paper that sounds efficient. In practice, it breaks the moment your traffic profile stops looking like a demo.
When I ran the numbers for our 100K-user growth scenario, the difference between a multi-vendor aggregator and a single-provider contract was a full 97.5% on token costs alone. That's not a margin tweak — that's the difference between a unit-economy-positive product and one that's permanently chasing its tail.
Here's what direct procurement actually costs you, even before the bill arrives:
