⚒️ Compare LLM token costs across 350+ models with OpenRouter
⚡ 118 views · ⚒️ Engineering
Description
This n8n template lets you run prompts against 350+ LLM models and see exactly what each request costs with real-time pricing from OpenRouter
Use cases are many: Compare costs across different models, plan your AI budget, optimize prompts for cost efficiency, or track expenses for client billing!
Good to know
- OpenRouter charges a platform fee on top of model costs. See OpenRouter Pricing for details.
- You need an OpenRouter account with API credits. Free signup available with some free models included.
- Pricing data is fetched live from OpenRouter’s API, so costs are always up-to-date.
How it works
- All available models are fetched from OpenRouter’s API when you start.
- You select a model and enter your prompt via the form (or just use the chat).
- The prompt is sent to OpenRouter and the response is captured.
- Token usage (input/output) is extracted from the response using a LangChain Code node.
- Real-time pricing for your selected model is fetched from OpenRouter.
- The exact cost is calculated and displayed alongside your AI response.
How to use
- Chat interface: Quick testing - just type a prompt and get the response with costs.
- Form interface: Select from all available models via dropdown, enter your prompt, and get a detailed cost breakdown.
- Click “Show Details” on the result form to see the full breakdown (input tokens, output tokens, cost per type).
Requirements
- OpenRouter account with API key (Get one here)
Customising this workflow
- Add a database node to log all requests and costs over time
- Connect to Google Sheets for cost tracking and reporting
- Extend with LLM-as-Judge evaluation to also check response quality
🔗 Nodes Used
HTTP Request, Execute Sub-workflow, Execute Workflow Trigger, Filter, LangChain Code, n8n Form Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File