n8n, Make & Co.: Workflow Automation With Your Own LLM Subscription
Anyone who wants to automate content, data or processes with AI quickly runs into two names: n8n and Make.com. Both connect hundreds of apps to large language models — and both raise the same question: Can I use my own LLM subscription for this, instead of paying for expensive API calls?
This whitepaper answers exactly that. It positions the well-known automation platforms, clears up a widespread misconception around “your own subscription” — and shows where boostN.ai takes a different path.
The key distinction: API key ≠ chat subscription
Before we compare tools, here’s the point where almost every cost calculation goes wrong. “Your own LLM subscription” can mean two completely different things:
- API key (e.g. via the OpenAI or Anthropic console): programmatic access, billed per token. Exactly what automation tools need.
- Chat subscription (ChatGPT Plus, Claude Pro — roughly €20/month each): access to the web and app interface, flat fee, but no programmatic access.
The most common mistake
Chat subscriptions like ChatGPT Plus or Claude Pro cannot be connected to n8n or Make. These plans are designed solely for direct use in the interface. Every classic automation requires a separate API key, billed separately per token.
This matters because many “save with your subscription” promises aren’t technically possible at all — with API-driven tools you always pay per token, on top of any chat subscription you might have.
n8n vs. Make.com head to head
At their core both platforms can do the same thing — connect, transform, automate. They differ mainly in hosting model, pricing logic and target audience.
| Criterion | n8n | Make.com | |---|---|---| | Hosting | Cloud or self-hosted (open source) | Cloud only (SaaS) | | Pricing logic | Per workflow execution / self-host = server cost only | Per “operation” (every module step counts) | | LLM connection | Native nodes for OpenAI, Anthropic, Google + freely configurable LLMs | Native modules for OpenAI, Anthropic Claude, Azure OpenAI | | Own / local LLM | ✅ (Ollama, OpenAI-compatible endpoint) | Limited | | Audience | Developers, technical teams, privacy-sensitive setups | Marketers, no-code teams, fast cloud workflows | | Strength | Full control, self-hosting, data sovereignty | Visual, large app library, low barrier to entry |
Short verdict:
- n8n wins when you want self-hosting, data sovereignty or your own/local model — then you pay no tokens at all, just your server.
- Make.com wins for pure cloud workflows that need to be set up fast and visually, without your own infrastructure.
For both: hosted LLMs (GPT, Claude, Gemini) require an API key — the chat subscription won’t help.
What other alternatives are there?
n8n and Make are the best known, but not the only ones. The most important additional players:
- Zapier — the classic. Huge app library, very easy, now with its own AI features. More expensive per task, less depth than n8n.
- Pipedream — developer-oriented, code-first (JavaScript/Python in steps), generous free tier. Great for teams that don’t shy away from code.
- Activepieces — open-source alternative to Zapier, self-hostable. Young, fast-growing project.
- LangChain / LangGraph & Flowise — not generic app connectors, but LLM orchestration for complex agent logic. Flowise adds a visual interface.
- Microsoft Power Automate — strong in the Microsoft 365 ecosystem, enterprise focus.
What they all share: as soon as a hosted LLM is involved, billing runs on API tokens — the platform doesn’t change that.
Where boostN.ai takes a different approach: bulk production with your own subscription
The tools above are generic workflow machines. boostN.ai is not a Zapier clone but specializes in one thing: bulk production — large volumes of content and assets in a single run, at consistent quality.
The key difference lies in the cost model. boostN.ai works on the BYOK (Bring Your Own Key / Subscription) principle: users bring their own LLM access — either an API key or, where technically possible, their existing subscription. boostN abstracts both away.
Why this is cheaper
With pure API workflows you pay for every single call per token — and for bulk production that adds up fast. boostN.ai lets you use your own, already existing LLM access. Instead of generating new API costs for every run, you use capacity you already have — significantly cheaper at high volume.
This creates a different equation:
- Generic tool + API: flexible, but each of the thousands of calls costs tokens — the bill scales linearly with volume.
- boostN.ai + your own subscription: built for bulk, you bring your own access — the cost per produced item drops the more you produce.
Which tool for whom?
- You want to connect arbitrary apps and add individual AI steps → n8n (technical, self-hostable) or Make.com (visual, cloud).
- You need maximum data sovereignty or a local model → n8n self-hosted with Ollama.
- You want to build complex agent logic → LangGraph / Flowise.
- You want to produce large volumes of content/assets cheaply → boostN.ai with your own LLM subscription.
The generic platforms and boostN.ai don’t rule each other out — they solve different problems. If you want to automate, reach for n8n or Make. If you want to produce at scale without your API bill exploding, boostN.ai is the right choice.