Question 1

What is Nemo Router?

Accepted Answer

Nemo Router is a managed LLM gateway that gives teams one API key to access 20+ AI models from Google (Gemini, Imagen, Veo) — Anthropic, OpenAI, and AWS Bedrock shipping next. It is OpenAI-compatible, includes built-in guardrails, real-time cost tracking, team management. Pricing has three tiers: 4% pay-as-you-go, 2% on Tier 2 monthly ($100+/mo), 0% on Tier 3 annual ($1,200+/yr).

Question 2

How is Nemo Router different from a public LLM gateway?

Accepted Answer

Nemo Router is purpose-built for teams, not individual developers. It combines the one-key-many-models experience of a public gateway with enterprise features that teams normally only get from self-hosted proxies: per-team budgets, org-wide RBAC, guardrails scoped per key, prompt management, and audit logs. All features are unlocked on every tier — plans only affect the platform fee (0% / 2% / 4%) and guaranteed RPM/TPM.

Question 3

What is the platform fee?

Accepted Answer

Nemo Router charges a platform fee on top of provider costs: 4% on Tier 1 (Pay As You Go), 2% on Tier 2 (monthly $100+ commitment), 0% on Tier 3 (annual $1,200+ commitment), and 0% on Enterprise (custom). You always pay the full model price to the provider — the platform fee is separate and transparent.

Question 4

Which AI models does Nemo Router support?

Accepted Answer

Nemo Router currently serves 20+ models live on Google Vertex AI (Gemini 2.5 Pro, Flash, Imagen, Veo, embeddings). Anthropic (Claude Opus 4, Sonnet 4, Haiku), OpenAI (GPT-4o, GPT-5.3, o1), and AWS Bedrock are shipping next. New models are added within days of general availability.

Question 5

Is Nemo Router OpenAI-compatible?

Accepted Answer

Yes. Nemo Router exposes an OpenAI-compatible REST API at https://api.nemorouter.ai/v1. Existing code using the OpenAI SDK works by changing two lines: the base URL and the API key. All features (routing, guardrails, observability, budgets) work through the standard chat completions endpoint — no custom SDK required.

Question 6

How does cost tracking work?

Accepted Answer

Every request is settled at Nemo Router using the canonical cost computed by our in-process intelligent routing engine, which reads the upstream provider cost header (x-nemo-request-cost) and charges your credit balance. You get per-request, per-model, per-team, and per-key cost breakdowns in real time via the dashboard and the /usage endpoint. Budgets can be enforced at any of those scopes and trigger 429s when exceeded.

Question 7

What guardrails does Nemo Router provide?

Accepted Answer

Nemo Router runs pre-call, during-call, and post-call guardrails from providers like Aporia, Guardrails AI, Bedrock Guardrails, Azure Content Safety, and Lasso. Guardrails are configured per key, per team, or per org. All providers are unlocked on every plan — you do not need to upgrade to enable safety controls.

Feature	Nemo Router	OpenRouter	Kong AI Gateway	Portkey	Helicone
Pricing Model	Credits — 0–4% platform fee	5% flat markup	Enterprise license	Per-feature SaaS	Per-event metering
Managed Infrastructure	Included	Included	Self-host or Konnect SaaS	Included	Included
All Features Unlocked	Every tier	Limited	Enterprise tier only	Paid tier only	Paid tier only
Team & Org Management	Included	—	Workspaces (paid)	Paid tier only	Paid tier only
Guardrails & Safety	Built-in	—	AI plugins (basic)	Paid tier only	—
Budget Controls	Per key / team / org	Basic	Rate limit only	Paid tier only	Basic
Audit Logging	Included	—	Enterprise only	Paid tier only	—
OpenAI-Compatible API	Yes	Yes	Via plugin	Yes	Yes
Setup Time	Sign up & call	Sign up & call	Provision gateway & plugins	Sign up & call	Sign up & call

The Intelligent Backbone
for Multi-Model AI.

One gateway, always in the path

Every model, one API.

Everything you need. Nothing you don't

Smart Routing

Guardrails

One API Key

Spend Tracking

Budget Controls

Prompt Templates

Team Management

Observability

Model Catalog

One bill. No feature gating

Tier 1

Tier 2

Tier 3

Why teams choose Nemo Router

One API key.
Every model. Three tiers.

The Intelligent Backbone for Multi-Model AI.