Tokenwise

Tokenwise drops into any OpenAI-compatible stack as a baseURL swap — no SDK changes, no refactoring. Once in place, it records your actual LLM requests and runs quality checks against your own traffic patterns (not generic public benchmarks) to find where you're overpaying for model capacity you don't need. When it spots a cheaper model or configuration that holds up on your use case, you apply the change in one click and Tokenwise immediately tracks the savings in real dollars. Built for makers and small teams who are scaling API usage and want cost visibility without setting up a full observability stack.

Developers and small teams scaling LLM API usage use it to analyze real request traffic and cut model costs without a full observability setup.