Compare the 12-month total cost of self-hosting open-source models vs. using vendor APIs. Answer 4 simple questions and get a clear cost comparison.
GPU hardware/rental, setup & configuration, monthly electricity & maintenance, ML engineer time for operations, model updates & monitoring.
Per-call pricing (input + output tokens), built-in uptime guarantees, automatic model updates, no infrastructure management needed.
Based on your inputs, here's what matters for your decision.
AI costs are dropping ~30% per year. GPU prices, API pricing, and open-source model quality all shift rapidly. Any projection beyond 12 months is unreliable — plan to re-evaluate in 6–12 months regardless of what you choose today.
This demo is a scripted, self-contained browser simulation. Nothing you type is sent to an AI model and no live AI system runs behind it, even where it plays one. Its code and copy were built with generative AI (Anthropic’s Claude) and reviewed by Robert Barcik, who is responsible for what is published (LearningDoe s.r.o.). Disclosed in the spirit of Article 50 of the EU AI Act.