Sapiom
Routes each call to the cheapest model that can actually handle it, behind an OpenAI-compatible endpoint.
Highlights
- An OpenAI-compatible API endpoint for drop-in routing across model tiers
- Automatic model selection per task by cost, quality, latency, and policy
- Per-call metering and traces
- agent.studio with Chat, Canvas, Steps, and Code surfaces
- A managed runtime with retries, signals, schedules, and step graphs
- MCP integration with Claude Code, Cursor, and Codex
- Local validation before cloud deployment
- Policy-aware routing across efficient, mid-tier, and frontier models
External link — opens sapiom.ai in a new tab. Sapiom is a third-party product; we are not affiliated with it.
About Sapiom
What it is
Sapiom is an inference router exposed through an OpenAI-compatible API, metering every call and routing it across efficient, mid-tier and frontier models based on task shape, context size, cost, quality, latency, reliability and policy. It also ships a studio and runtime for building agents on top.
Why it's different
The premise is correct and under-exploited: most production traffic does not need a frontier model, and teams route everything to one because choosing per request is work nobody does. Automating that decision is where real savings live. Two things to weigh. Routing by task shape means something is judging difficulty before the model sees it, and a misrouted hard request produces a worse answer that you may not notice — so the quality floor matters more than the average saving. And every gateway adds a third party to your request path, which is a data-handling decision and a new dependency in front of providers that were already redundant.
How people use it
It suits teams whose model spend is large enough that a meaningful percentage matters, and whose workload genuinely varies — classification and extraction alongside reasoning. The practical approach is measuring output quality on your own evaluations before and after enabling routing, since a saving that costs accuracy is not a saving. Where responses are user-facing, hold a quality floor rather than optimising purely on cost.
Written by the n3os team. We are not affiliated with Sapiom.
This listing was written from public information, without Sapiom’s involvement. If you own it and something here is wrong — or you would rather not be listed at all — email us and we will correct or remove it.
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