Finest: AI Routing That Cuts Costs, Not Quality
Finest is a model routing platform that automatically directs each AI request to the lowest-cost LLM configuration that still meets a user-defined quality bar. It acts as an AI gateway: applications use a single base URL and existing SDK, while Finest measures traffic, evaluates which model or team of models is sufficient, and serves the cheapest valid route. The service advertises no markup on provider pricing; instead, it charges 25% of verified savings, so if no savings are proven, no fee is owed. Finest offers both an API for standard LLM calls and a product called Finest Code designed to reduce costs on coding-agent API usage. The platform continuously re-verifies routes whenever model versions change, using a 'gate' mechanism to ensure quality bars remain satisfied. Marketing materials emphasize twelve optimization techniques, including splitting calls, disabling reasoning, capping outputs, shrinking context, setting cache breakpoints, and using disagreement between models as an error detector. The project includes research material such as a 'Request Compiler' paper, a challenge, comparison guides, and public documentation. It is a commercial SaaS product intended for teams that want to reduce LLM spend without changing their application code or quality expectations.
- Category
- Model routing
- Pricing
- Free
Problem solved
Finest solves the problem of LLM API bills growing faster than application usage. It automatically routes each request to the cheapest model configuration that still meets a specified quality bar, while monitoring model releases and verifying quality continuously, so engineering teams reduce spending without manually managing routes or sacrificing output quality.
Use cases
- Route production LLM traffic to the cheapest model that passes quality gates
- Reduce monthly API spend on high-volume AI applications
- Lower coding agent costs through Finest Code
- Automatically re-validate all routes when a model version changes
- Split complex requests into parallel cheap calls and a minimal frontier call
- Disable reasoning or cap output tokens on routes that don't need them
- Optimize prompt caching by adjusting cache breakpoints
- Detect hallucination or silent failures by comparing two independent model answers
Audience
- Developers
- ML Engineers
- Data Scientists
- Enterprise
- Startups
Pros
- No markup on provider pricing
- Free if it doesn't prove savings; charges 25% of verified savings
- Easy integration with one base URL and existing SDK
- Continuous quality re-verification on model releases
- Offers both standard API and coding agent cost optimization
Cons
- Success fee of 25% of savings may be significant
- Requires trusting a third-party gateway for request routing
- Dependent on supported model providers and routes
- Less established than older, larger model gateways
- Potential added latency from routing layer
Official website: https://finest.so/
Canonical LambdaBase page: https://www.lambdabase.com/tools/finest-ai-routing-that-cuts-costs-not-quality