# Compare LLM token costs across 350+ models with OpenRouter: n8n workflow

> Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenRouter.

Source: https://millionrounds.com/workflow/compare-llm-token-costs-across-350-models-with-openrouter (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)

# Compare LLM token costs across 350+ models with OpenRouter

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenRouter. 17 steps: a working afternoon to understand properly.

Medium Calls a model: OpenRouter

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fcompare-llm-token-costs-across-350-models-with-openrouter)

**17 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

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

## The flow

Starts it 3 Model 3 Logic 7 Service 4

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

- 1 **When chat message received** Chat trigger *Starts it*
- 2 **When Executed by Another Workflow** Execute Workflow trigger *Starts it*
- 3 **On form submission** Form trigger *Starts it*
- 4 **OpenRouter** Lm Chat Open Router *Model*
- 5 **Backend1** Execute Workflow *Logic*
- 6 **Get Openrouter models1** Http Request *Service*
- 7 **Get Openrouter models** Http Request *Service*
- 8 **LangChain Code** Code *Model*
- 9 **Respond to Chat** Chat *Model*
- 10 **Split Out1** Split Out *Logic*
- 11 **Split Out** Split Out *Logic*
- 12 **Code in JavaScript** Code *Logic*
- 13 **Filter** Filter *Logic*
- 14 **Code in JavaScript1** Code *Logic*
- 15 **Form** Form *Service*
- 16 **Backend** Execute Workflow *Logic*
- 17 **Form1** Form *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 17
- **Size:** Medium: a working afternoon
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenRouter

## Questions

What does it need to run?

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

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenRouter. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 17 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 17 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%2Fcompare-llm-token-costs-across-350-models-with-openrouter)
- **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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