AI Model Cost Router

Teams waste money on expensive AI models for simple tasks. This tool intelligently routes requests to the cheapest appropriate model based on task complexity, saving 30-70% on API costs with zero quality loss. Target users are developers and teams using multiple AI APIs.

AI API spend has become a real line item for dev teams in 2024, and with OpenAI, Anthropic, Google, and a growing roster of cheaper open-weight model providers all competing, the routing arbitrage opportunity is genuine. LiteLLM is the closest incumbent — it handles multi-provider abstraction but doesn't do intelligent complexity-based routing out of the box, which is the defensible wedge here. The $2k–10k MRR band is plausible for a developer tool with usage-based or seat pricing, though it implies a relatively small number of paying teams and requires landing customers who are already spending enough on AI that the savings justify another vendor. The biggest risk is that model providers compress pricing fast enough — or that OpenAI continues expanding its own tiered model options — that the cost delta narrows and the core value proposition quietly disappears.