IQ Routing
IQ Routing is an LLM gateway that intercepts API calls and routes each request to the cheapest model capable of meeting quality requirements for that specific task. It sits between your application and OpenAI, Anthropic, or Google endpoints, providing semantic caching to avoid re-billing repeated queries, per-step routing for multi-step agent workflows, and per-team budget controls. Agencies report 40-80% cost reductions on measured traffic. The tool integrates natively with OpenAI, Anthropic, Google, LangChain, Claude Code, and Cursor, and requires no application code changes to deploy.
IQ Routing is an LLM gateway, priced at $70 a month on the Team plan, integrating with OpenAI, Anthropic, Google and Claude Code. InnovaAI rates it 5.8 of 10 for agency resale.
Agency Audit
IQ Routing sits between your LLM calls and OpenAI, Anthropic, or Google endpoints, automatically routing each request to the cheapest model capable of handling it while maintaining quality. Agencies building chatbots, RAG systems, or agent workflows can reduce LLM costs by 40-80% without changing application code. The tool works inside locked environments like Claude Code and Cursor, making it useful for agencies that need model consistency but want cost control. Best fit: AI product agencies and those running multi-step agent loops where per-step routing can compound savings.
5.8/10
63%
3d about 3 days
- You have clients running LangChain agent loops or multi-step RAG pipelines where different steps have different complexity requirements, since IQ Routing's per-step resolver can route planning to a reasoning model and verification to a cheaper variant.
- Your clients use Claude Code or Cursor and need cost control without switching model families, because IQ Routing maintains model family constraints while routing within tiers.
- You manage 5+ client accounts and need per-team budgets and audit logs to track spend by client, since the Team plan ($70/mo) includes per-team controls and cost reports by model and team.
- Your clients require HIPAA or FedRAMP compliance, since IQ Routing only offers SOC2 evidence on request and does not publish healthcare or government compliance certifications.
- You need white-label client portals or branded cost dashboards, because no verified white-label program exists in the provided content.
- Your clients run fewer than 240 requests per minute on the Free plan and cannot justify the $70/mo Team plan, since the Free tier caps at 240 requests/min and lacks per-team budgets.
Profit Path
$70/mo
$1K–$3K/project
Hybrid
Planning benchmark at United States price levels. Not a measured market survey.
Platform Features
Core capabilities of IQ Routing
Per-step routing in agent loops
Routes each step of a multi-step agent workflow to the cheapest model that meets quality requirements for that step. Agencies can reduce total loop cost by 58% or more by using reasoning models only where needed and cheaper variants for retrieval, tool calls, and verification.
Unified endpoint for three providers
Accepts OpenAI or Anthropic SDK calls at a single URL and routes to OpenAI, Anthropic, or Google models. Agencies no longer need to maintain separate integrations or client code changes when switching between providers.
Semantic caching
Detects when a new request matches a previously answered question (even with different wording) and returns the cached result in approximately 11 milliseconds without re-billing. Reduces redundant API spend for clients with repetitive query patterns.
Per-team budgets and audit logs
Team plan includes per-team spending limits, alerting, and audit trails so agencies can track which internal team or client account spent what and why. Enables board-ready cost reports by model, team, and savings layer.
Model family lock-in for Claude Code and Cursor
Works inside tools that restrict model selection to a single family. Agencies can point Claude Code or Cursor at IQ Routing and route to the right tier within that family without leaking to another vendor, maintaining conversation state across model switches.
Per-step cost and latency tracking
Dashboard shows cost, latency, and token count for each step in an agent session, so agencies can identify which steps are expensive and adjust routing rules or quality thresholds accordingly.
What Makes IQ Routing Different
Unique advantages vs similar tools in this niche
Purpose-built routing classifier that holds quality where naive cheapest-model routers drop it
vs Simple cost-based routers that sacrifice qualityThe router weighs true difficulty against live cost and latency, with instant fallback if a model slips.
Semantic cache that catches repeats and paraphrases, cutting costs on repeated queries
vs Exact-match caching in other gatewaysIQ catches exact repeats and ones that just mean the same thing, with per-team cache isolation.
Per-step routing for agent loops, assigning each step the cheapest model that can do it well
vs Pinning one frontier model for all stepsThe resolver picks the cheapest variant per step, as shown in the LangChain example cutting cost 58%.
Investment ROI Calculator
Value equation analysis for IQ Routing, based on the Hormozi framework
What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.
2.7× value multiple: invest $70/mo and agencies typically charge $1K–$3K/project for the work it powers.
Why This Succeeds
Higher is betterClient Results Potential
What your clients actually get
High-impact results: clients get measurable improvements in delivered value
Cut spend 40 to 80 percent, measured on our own traffic, live in thirty seconds.
Reliability Score
How consistently this delivers results
Early-stage track record: validate with a small pilot first
40 to 80 percent spend cut
Implementation Challenges
Lower is betterTime to First Revenue
How long until you can start earning
Standard ramp-up: accelerate to 1 day with Academy SOPs
Expect a few days from signup to first client delivery
Setup Effort
What it takes to get running
Near-turnkey: minimal setup before you can sell
Moderate effort: standard configuration with some customization needed
Strong ROI. IQ Routing at $70/mo supports market rates of $1K–$3K. Its 2.7× value-equation score weighs client outcome and likelihood against the time and effort to deliver, not cost.
Pricing
IQ Routing platform cost to your agency
Team: $70/mo
Free
- OpenAI, Anthropic, and Google, with one URL for all three
- Bring your own keys (BYOK)
- Semantic cache
- 240 requests/min usage limit
Team
- Everything in Free
- Per-team budgets
- Audit log
- Per-team alerting
Enterprise
- Everything in Team
- On-prem or VPC deployment
- SOC2 evidence pack on request
- ERP integrations (on the roadmap)
No verified white-label program for IQ Routing: client-facing delivery runs under the platform's native branding.
Market Intelligence
How agencies monetize IQ Routing: real offer economics and market positioning
- AI product agencies
- Agencies building chatbots
- Agencies running RAG systems
- Agencies not using LLM APIs
- Agencies with minimal AI infrastructure spend
Project-Based
ai-toolsAgency charges per-project fee for implementation. Ongoing optimization as optional retainer.
Offer Economics: What You Charge vs. What It Costs
Margin includes platform cost + agency labor at $75/hr.
Local service businesses or solo practitioners using OpenAI/Anthropic APIs who want to cut LLM spend without rebuilding their stack
Funded startups or regional brands with multiple teams consuming LLM APIs who need budget controls and audit visibility
Mid-size companies with 50–500 employees running multi-step AI agent loops or internal LLM tooling at scale who need governance and cost accountability
Enterprise organizations with 500+ employees requiring on-prem or VPC deployment, SOC2 compliance evidence, and centralized LLM cost governance across divisions
Scale Economics: Based on Starter Offer
Using IQ Routing SMB Starter at $2.5K/client. Platform: $70/mo. Labor: 4h/client × $75/hr.
Net = MRR - platform cost - labor (4h/client × $75/hr).
Investment Decision Framework
Strategic vetting analysis for IQ Routing
Consider
Favorable fit, worth a closer look
Buy If
4You have clients running LangChain agent loops or multi-step RAG pipelines where different steps have different complexity requirements, since IQ Routing's per-step resolver can route planning to a reasoning model and verification to a cheaper variant.
Your clients use Claude Code or Cursor and need cost control without switching model families, because IQ Routing maintains model family constraints while routing within tiers.
You manage 5+ client accounts and need per-team budgets and audit logs to track spend by client, since the Team plan ($70/mo) includes per-team controls and cost reports by model and team.
Your clients have predictable query patterns where semantic caching can reduce redundant API calls, since cache hits resolve in approximately 11 milliseconds without re-billing.
Skip If
4You want to resell IQ Routing as a standalone managed service to non-technical clients, since the tool requires API key management and quality threshold tuning that demands technical setup.
Your clients require HIPAA or FedRAMP compliance, since IQ Routing only offers SOC2 evidence on request and does not publish healthcare or government compliance certifications.
You need white-label client portals or branded cost dashboards, because no verified white-label program exists in the provided content.
Your clients run fewer than 240 requests per minute on the Free plan and cannot justify the $70/mo Team plan, since the Free tier caps at 240 requests/min and lacks per-team budgets.
Bottom Line
IQ Routing sits between your LLM calls and OpenAI, Anthropic, or Google endpoints, automatically routing each request to the cheapest model capable of handling it while maintaining quality. Agencies building chatbots, RAG systems, or agent workflows can reduce LLM costs by 40-80% without changing application code. The tool works inside locked environments like Claude Code and Cursor, making it useful for agencies that need model consistency but want cost control. Best fit: AI product agencies and those running multi-step agent loops where per-step routing can compound savings.
Reality Check
IQ Routing requires agencies to manage separate API keys for OpenAI, Anthropic, and Google upfront, and cost visibility depends on accurate quality thresholds being set per step. If a client's workload doesn't have clear cost-quality tradeoffs (e.g., all requests genuinely need frontier models), savings will be minimal.
Moderate effort: standard configuration with some customization needed
Academy for IQ Routing
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
IQ Routing Agency Implementation, Cost-Optimized LLM Delivery
Learn how to deploy IQ Routing as a managed service for clients, reduce their LLM spend by 40-80% through intelligent model routing and semantic caching, and build recurring revenue by monitoring per-team budgets and cost optimization. This course covers gateway setup, per-step routing configuration for agent workflows, client onboarding, and cost reporting that justifies retainer fees.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- IQ Routing Cost Band StrategyConcept
IQ Routing's core value for agencies is its per-step routing capability, which assigns each API call to the cheapest model that can handle it without sacrificing quality. This framework, the Cost Band Strategy, involves mapping your client's workflows into distinct quality tiers: 'cheap' for simple tasks like classification or extraction, 'auto' for balanced performance, and 'frontier' for complex reasoning or creative generation. By configuring custom band maps in IQ Routing, you can enforce these tiers per step, ensuring that a summarization call uses a cheaper model while a code generation step uses a frontier one. For an agency running a multi-step agent loop for a client, this compounds savings across thousands of calls, potentially cutting LLM costs by 40-80%. The Team plan at $70/month includes custom band maps, making it a low-cost investment that can be passed on as a managed service retainer, improving your margin on AI projects.
- Concentration Risk LedgerConcept
Concentration Risk Ledger is a framework for tracking how much of an agency's delivery capacity depends on any single model provider, region, or price tier. The unit of analysis is not the vendor relationship but the retainer: for each client engagement, list which workflows break if one provider raises prices, degrades quality, or restricts access. Forrester warned in October 2026 that AI supply chains hide single points of failure in plain sight, and the same week Anthropic cut Claude Haiku 5.5 to $0.10 per million input tokens while OpenAI shipped GPT-6 to 1.2 billion weekly users, both reminders that pricing and capability floors move fast. An agency running every client summarization job through one API has an unpriced liability. The ledger converts that into a number: percentage of monthly delivery hours exposed, and the cost of a routing layer that reduces it.
- Provider Concentration RatioConcept
Provider Concentration Ratio is the share of an agency's live client delivery that depends on a single model vendor, measured in billable projects rather than API keys. A retainer running three client builds on one provider's API looks diversified on an invoice and is not: a pricing change, a deprecation, or a guardrail shift hits all three at once. The ratio matters because infrastructure cost is a pass-through that agencies rarely reprice mid-contract, so a vendor move lands directly on margin. The practical test is to count distinct providers behind each deliverable and flag any client where one vendor carries more than half the inference load. Routing layers such as OpenRouter, Portkey, and Helicone exist to make that count adjustable without rewriting application code. The same discipline applies to compute: industry executives expect only 7 to 10 of hundreds of AI cloud providers to survive consolidation, so GPU capacity booked with a single neocloud carries the same concentration risk as a single-model stack.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- When to Adopt IQ Routing: If Your Agency Spends Over $1,000 Monthly on LLM APIsEvaluation Rule
Adopt IQ Routing only if your agency's LLM API spend exceeds $1,000 per month and you can invest time in configuring quality thresholds per step.
- AI Infrastructure Rule: Price the Exit Before You Price the InferenceEvaluation Rule
Treat provider portability as a delivery requirement: put a gateway or routing layer in front of every model call, and price the migration path into the retainer before the first token is billed.
- IQ Routing: Buy vs Skip (Agency Cost Control)Decision Framework
If your agency runs multi-step agent loops or high-volume chatbot workloads on OpenAI, Anthropic, or Google, and you can manage separate API keys for each provider, then IQ Routing's Free tier with 240 requests/min is a low-risk pilot. Upgrade to the $70/month Team plan only when you need per-team budgets, audit logs, and custom band maps to enforce cost controls across client projects.
- Why Agencies Fail With IQ Routing in Multi-Step Agent WorkflowsFailure Pattern
- The Single-Provider Trap: Why AI Infrastructure Stalls When One Model Vendor Owns the StackFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- IQ Routing Client Onboarding Sprint (5-7 days)Implementation Blueprint
A 5-7 day sprint to deploy IQ Routing as a drop-in LLM gateway for a client, cutting their API spend by 40-80% through automatic model routing and semantic caching.
- IQ Routing Client Cost Optimization Setup (Onboarding)Operating Procedure
- Model Routing and Fallback Gate (Delivery)Operating Procedure
- Provider Concentration Audit (Retention)Operating Procedure
13 modules selected for IQ Routing
Frequently Asked Questions
Answers about pricing, setup, implementation
IQ Routing is an LLM gateway that intercepts API calls to OpenAI, Anthropic, or Google and routes each request to the cheapest model capable of handling it while maintaining quality. It provides semantic caching to avoid re-billing repeated requests, per-step routing for agent loops, and per-team budgets so agencies can track spend by client or internal team. The tool drops in front of existing OpenAI or Anthropic SDKs without requiring application code changes.
IQ Routing lists 3 plans; the paid price is $70 a month (Team). The typical margin on reselling IQ Routing is 63% of the fee, after the platform and labor at $75 an hour.
No verified white-label program exists in the provided content. Client-facing surfaces display the IQ Routing brand. If white-label capabilities are planned, contact sales to confirm availability.
Yes. IQ Routing natively integrates with OpenAI, Anthropic, and Google. It also works with Claude Code, Cursor, and LangChain. Any OpenAI or Anthropic-shaped endpoint can point to IQ Routing's unified URL, and the tool routes to the appropriate model based on your quality thresholds.
IQ Routing goes live in approximately 30 seconds once you point your existing OpenAI or Anthropic SDK at the IQ Routing endpoint. No application code changes are required. Per-client setup depends on configuring quality thresholds and band maps for your specific workflows.
AI product agencies, agencies building chatbots, agencies running RAG systems, and agencies with agent workflows. Any client running multi-step LLM pipelines where different steps have different complexity requirements will see the largest cost savings.
Yes, on the Team plan and above. IQ Routing supports per-team budgets, per-team alerting, and org-scoped access controls. You can generate cost reports by model, team, and savings layer, so each client's spend is visible and auditable.
Requests will fail if they continue pointing to IQ Routing's endpoint without an active account. Agencies should migrate clients back to direct OpenAI or Anthropic SDK calls before cancellation, or maintain a fallback endpoint. IQ Routing does not publish a data export or retention policy in the provided content.