IQ Routing icon

IQ Routing

IQ Routing is a model-routing gateway that sends each request to the cheapest model tier that still meets a quality bar. It is built for teams running chatbots, RAG pipelines, agent loops, and finance workloads on OpenAI-, Anthropic-, or Google-shaped endpoints.

IQ Routing

Overview

IQ Routing is a model-routing gateway for applications that call large language models through OpenAI-, Anthropic-, or Google-shaped endpoints. It sits in front of chatbots, RAG pipelines, agent loops, and finance workloads and sends each request to the cheapest model that still meets the quality bar.

The product is built to reduce model spend without changing the agent code path. The site describes it as a drop-in layer for existing SDKs and endpoints, with routing decisions based on prompt complexity, live cost and latency signals, and fallback handling when a model or provider path fails.

The pricing and docs pages show three live provider families, BYOK operation, response caching, per-team budgets, audit logging, and plan-specific controls such as alerting and org-scoped access. Enterprise adds deployment options like on-prem or VPC and support artifacts such as a SOC2 evidence pack on request.

Features

Single gateway for multiple provider families

Route requests across OpenAI, Anthropic, and Google through a single base URL, while keeping the model family constraints required by apps like Claude Code or Cursor.

Complexity-aware routing

Classify each prompt by complexity and choose a cheaper model tier when the request does not need the flagship model, with instant fallback if one option fails.

Configurable routing aliases and model bounds

Use aliases such as auto, frontier, and other routing modes to control how broadly the resolver searches, with preferred-model and allowed-model lists to constrain the ladder.

Four-way billing visibility

Track spend by input, output, cached, and thinking tokens, with per-request detail that shows why a call cost what it did.

Response caching for repeats

Keep repeated requests from billing twice through exact and semantic response caching, including conversation-scoped caching for agent loops and streaming replay.

Budgeting and team controls

Apply per-team budgets, per-key limits, audit logs, alerting, and org-scoped access controls on paid plans.

Use cases

  • Agent loops with mixed step complexity

    Route low-complexity classification, retrieval, cleanup, or verification steps to less expensive models while reserving the strongest model for the parts of the workflow that need it.

  • Production chatbots and RAG pipelines

    Place IQ Routing in front of a chatbot or RAG service so the application can use a single base URL while the router handles model choice behind the scenes.

  • Cross-team cost control

    Use per-team budgets, audit logs, and org-scoped access controls to track who spent what in shared environments and to make the billing trail easier to review.

  • Repeated prompt handling

    Rely on the gateway response cache to return exact or semantic repeats without another provider call, which is useful when users ask the same thing in slightly different words.

  • Controlled enterprise deployment

    Adopt Enterprise deployment options when the gateway needs to run in a cloud, VPC, or on-prem environment rather than only as a hosted service.

Pros and Cons

Pros

  • Designed to route each request to the cheapest model that still holds quality.
  • Works as a drop-in gateway behind existing OpenAI- or Anthropic-shaped endpoints.
  • Uses response caching to avoid billing repeated requests twice.
  • Surfaces spend by token class, team, model, and request detail for review.
  • Includes BYOK setup, so provider billing stays with the customer’s own accounts.

Cons

  • Enterprise pricing is custom, so buyers need to contact sales for that tier.
  • ERP integrations are mentioned as on the roadmap rather than fully available.
  • Some controls, including alerting and org-scoped access, are limited to paid plans.

FAQ

What does IQ Routing do?

IQ Routing sits in front of OpenAI-, Anthropic-, and Google-shaped endpoints and routes each request to the cheapest model tier that still holds the quality bar. It is intended to work with chatbots, RAG pipelines, agent loops, and finance workloads.

How do you integrate it?

The product is designed as a drop-in gateway. The site says it works behind the OpenAI or Anthropic SDK you already use, and any OpenAI- or Anthropic-shaped endpoint can point at one base URL.

What plans are available?

Yes. The pricing page shows Free, Team, and Enterprise plans. Free is self-serve with BYOK, Team is $70 per month billed monthly, and Enterprise is custom annual pricing with on-prem or VPC deployment options.

Do I pay IQ Routing for model usage?

The docs say every plan is bring-your-own-key, so you connect your own provider credentials and pay providers directly. The billing docs also note that a 402 response indicates provider credit exhaustion on your BYOK key.

Does it support caching?

The billing docs describe a gateway response cache that can return exact or semantic repeats without calling the provider again. The site also says a measured production cache hit returned in about 11 ms at no cost.

Quick Facts

Category
AI model routing gateway
Primary users
Teams building chatbots, RAG pipelines, agent loops, and finance workloads
Providers supported
OpenAI, Anthropic, and Google
Deployment
Cloud; Enterprise also supports on-prem or VPC deployment
Pricing model
Free, Team at $70 per month billed monthly, and custom Enterprise
Website
iq-routing.com

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IQ Routing - AI Tool, Features, Use Cases & Alternatives | UStack