Reduce your OpenAI costs
without changing your code.

The most common pattern in production AI infrastructure is a single default model, usually GPT-4o, that receives every request regardless of complexity. It is the safe choice when you are moving fast. It becomes an expensive choice once your volume grows.

Most AI workloads are not equally complex. A summarization request, a classification call, and a structured extraction task do not require the same model capability as a multi-step reasoning chain or a complex code generation task. When you send all of them to GPT-4o, you are paying $7 per million input tokens for tasks that GPT-4o-mini handles at $0.15, a 46x price difference with no measurable quality loss on the simpler task types.

PromptUnit sits between your application and your AI providers as a transparent proxy. It inspects each request, classifies the task type across 10 signal dimensions, and routes it to the cheapest model that meets your quality threshold. Your code sends requests to GPT-4o as normal. PromptUnit intercepts those calls and routes the simple ones to cheaper models automatically. Your application receives standard OpenAI-format responses, it never knows a routing decision was made.

Savings start with your first request. Each request is checked: when a cheaper model is just as good for it, PromptUnit uses it, and when it isn't, the request stays on the model you chose. Your dashboard shows every request, the model that answered, what it cost and what it saved. You can keep any request on its original model with one header, or turn routing off at any time.