FastRouter.ai: Route requests to the right LLM for cost, latency & quality

Model selection runs through an alias, fastrouter/auto, which picks a model per request based on complexity, domain and cost. Teams can also set provider strategies such as lowest price, lowest latency or weighted shuffle, and configure fallback models per key. A blend mode sends one prompt to several models and has a judge model compare the answers. Model counts differ by page: the documentation cites 160+ models across 20+ providers, while the marketing site says 200+. Pricing is the main pitch. The docs state there is no markup on tokens, whether customers bring their own provider keys or buy FastRouter credits. Signup includes free credits and no monthly minimums. A third-party listing describes a seven-day audit that replays real traffic and reports average savings of 46%, which is the company's own figure. FastRouter's posts argue that a 5% markup on $30,000 of monthly spend costs $1,500. The company was founded in 2025 in the US. For AI founders, gateways are becoming interchangeable on basic access, so differences shift to fee structure and operations tooling. Switching costs are low, since the integration is a base URL change. Auto-routing still puts a third party in the request path, so teams should test its model choices against their own evaluations, measure added latency, and verify the savings claim on their own traffic.