About Inferbase
An inference platform that routes every request to the right model, through one API.
What Inferbase is
An inference platform built on a single idea: no one model is the right choice for every request.
You call one OpenAI-compatible API. Behind it, each prompt is classified and routed to the open model that fits it best on quality, cost, and latency, with a fallback if a model fails. There are no SDK changes to make and no model-selection logic to maintain on your side.
That matters because the model landscape no longer sits still. New open models arrive every few weeks, the best pick changes from one task to the next, and a single hard-wired default quietly leaves both quality and cost on the table. Inferbase turns model selection from a standing decision into a per-request one.
How it works
One API call, classified and routed to the best-fit model in milliseconds. See how routing works.
Your app
POST /v1/chat
Smart Routing
code complete → Llama 3.3 70B
How we think about routing
Automatic does not have to mean opaque. Three rules keep our routing honest.
Every route is auditable
Each decision records the task a request was classified as, the models that were eligible, and why the chosen one won. Nothing happens in a black box.
Unknown is an honest answer
A model we have not independently evaluated for a task is treated as unknown, never quietly assumed to be as good as the model it was derived from.
You set the objective
You choose what to optimize for, whether quality, cost, or latency, and routing picks the best fit for that goal on every request.
Our principles
The bar we hold every feature and every number to.
Accuracy with speed
We move fast without inflating the numbers. Benchmarks are crosswalked and checked, unknowns are marked as unknown, and nothing is dressed up as more certain than it is.
Cost is a first-class metric
Price is a routing dimension alongside quality and latency, never an afterthought.
Built for practitioners
Made for people shipping real systems.
Evidence before claims
We quantify a problem before building for it, and back assertions with data, not adjectives.
You stay in control
We route and recommend, but the choice of what runs is always yours.
Start building with the right model.
Automatically route workloads to the right model for every task, every time.