Token Cut

Token Cut is an AI model routing and cost optimization platform built to help developers lower LLM and generative AI API expenses. It uses TypeSafe Jev to judge each incoming task, estimate the capability needed, and then route the request to the lowest-priced eligible model within your configured settings.

Instead of locking everything to one “frontier” model or building and maintaining complex manual rules, Token Cut provides one unified API across text, image, video, and audio models. You define your preferred models and routing limits (such as capability and budget), and Token Cut handles model selection automatically.

The platform also measures what’s happening—capturing the chosen model/provider and routing confidence—so you can understand routing decisions and evaluate spend against your workload. It’s designed for high-volume AI apps like SaaS products, chatbots, agents, content generators, and other systems where small routing improvements can add up.

What is Token Cut used for?

Token Cut is used to route each request to a suitable AI model tier to reduce unnecessary spending while still matching the capability needed for the task.

What does Jev do in Token Cut?

Jev analyzes the task and returns structured judgment about the capability required. Token Cut then uses that classification to pick an eligible model.

Does Token Cut always choose the absolute cheapest model?

No. It selects the lowest-priced eligible route after filtering by your configured limits, including capability, provider availability, context, and budget.

What content types can Token Cut route?

Token Cut supports one API across text, image, video, and audio model workflows.

How can I evaluate potential savings?

Use the Jev routing calculator for an illustrative estimate, then validate on your own workload by comparing completed requests and total charges—making sure to include Jev/routing overhead and service costs.

How does Token Cut avoid manual rule-based routing?

Instead of relying on a fixed model or hand-maintained rule sets, Token Cut uses Jev’s task judgment and enforces your routing constraints when choosing among configured model options.