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Multi-model routing: policy before provider invoices

Multi-model routing layer for A-tier and value-tier tokens: policy-driven LLM selection behind OpenAI-compatible APIs.

2026-04

TL;DR

A policy-driven routing layer picks the best model per request behind an OpenAI-compatible API, splitting traffic into A-tier and value-tier lanes.

Inputs routing considers

  • User-visible vs background jobs
  • Latency SLOs and fallback tiers
  • Safety/quality floors per product surface

Client experience

External integrations stay on OpenAI-compatible shapes; internals swap models without forking your SDKs.

Docs and buyer education

Stable definitions here pair with API documentation guidance and pages that help technical buyers compare vendors.

FAQ

+What is multi-model routing?
Multi-model routing is a policy-driven layer that selects the best LLM for each request based on cost and quality rules, splitting traffic into A-tier and value-tier lanes behind an OpenAI-compatible API.
+How does multi-model routing reduce costs?
By directing only high-stakes requests to expensive frontier models and routing bulk work to efficient models, multi-model routing cuts total token spend by 40-70%.

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