# Multi-AI agent router: compare OpenAI, Anthropic & Groq responses: n8n workflow

> Started by another system calling it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/multi-ai-agent-router-compare-openai-anthropic-and-groq-resp (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [AI assistants](https://millionrounds.com/workflows?category=AI+assistants#library)

# Multi-AI agent router: compare OpenAI, Anthropic & Groq responses

Started by another system calling it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to Claude, Groq and one other. 16 steps, 1 branch: a working afternoon to understand properly.

Medium Calls a model: Claude, Groq

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fmulti-ai-agent-router-compare-openai-anthropic-and-groq-resp)

**16 steps** Medium: a working afternoon

**1** Branch: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 2 Model 9 Logic 5

The steps in the order they run, from what starts it.

- 1 **Output Parser** Output Parser Structured *Model*
- 2 **Output Parser2** Output Parser Structured *Model*
- 3 **Webhook** Webhook *Starts it*
- 4 **OpenAI Model** Lm Chat Open Ai *Model*
- 5 **Output Parser1** Output Parser Structured *Model*
- 6 **Groq Model** Lm Chat Groq *Model*
- 7 **Anthropic Model** Lm Chat Anthropic *Model*
- 8 **Anthropic Agent** Agent *Model*
- 9 **Groq Agent** Agent *Model*
- 10 **Extract Input Parameters** Set *Logic*
- 11 **OpenAI Agent** Agent *Model*
- 12 **Merge Results** Merge *Logic*
- 13 **Dynamic LLM Router** Code *Logic*
- 14 **Calculate Performance Metrics** Code *Logic*
- 15 **Route to Provider** Switch *Logic*
- 16 **Respond to Webhook** Respond To Webhook *Starts it*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 16, with 1 branch
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** Claude, Groq, OpenAI

## Questions

What does it need to run?

An n8n account, and a key for Claude and Groq. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls Claude, Groq and OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 16 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 16 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fmulti-ai-agent-router-compare-openai-anthropic-and-groq-resp)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

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Also ai assistants, with the same services where possible, closest in size first.

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- [**Build a RAG chatbot with Gemini and Supabase** 16 steps · calls a model · Supabase vectors](https://millionrounds.com/workflow/build-a-rag-chatbot-with-gemini-and-supabase)