Revolut’s blended LLM inference cost is now $0.49 per million tokens. That figure covers external models, self-hosted GPU capacity (including idle time) and tool overhead. Coding assistance sits even lower, at roughly $0.30 on self-hosted GLM. This matters because AI usage hits the bottom line, and engineers don't want to be rationed. Revolut is showing that a regulated fintech can build the internal capability to run cheap, high-volume AI at scale — the kind of constraint removal that affects how fast a company ships product. It is also very on-brand: keep as much as possible in-house, especially with self-hosted open-weight models. Given the existing NVIDIA collaboration on PRAGMA and the ongoing build-out of self-hosted capacity, this looks more like a preview of where Revolut is heading than a one-off optimisation.