Since we self-hosted, we avoided n8n's SaaS pricing entirely. Our costs are primarily on the Hostinger VPS subscription, which is quite reasonable at around fifteen to twenty dollars per month, plus the time investment in setting up Docker, configuring persistent storage, and managing the infrastructure ourselves. The licensing side is straightforward because the self-hosted version is open source. We do not have per-user seat costs or tiered pricing to negotiate. That makes it very cost-effective.
Systems Architect & Ai Product Strategist | Founder At Orb Deep Technologies at ORBDEEP
Real User
Top 5
Feb 26, 2026
Once n8n has passed all the tests, it works fine, which is why people use it on a VPS instead of a local server. Using the paid version is somewhat expensive. The difference between the free version and paid version of n8n is that the paid version, if hosted locally, is almost the same. However, with the latest update from using the website, you get the AI assistant that can set up the flow for you automatically with prompts, which is a good feature. Cloudy also does the same, so people use Cloudy and they use a localhost of n8n. For example, I normally create a JSON file for the complete flow through my AI coder and then import it to the n8n canvas.
ERP recommendation specialist at a non-tech company with 1-10 employees
Real User
Top 20
Jan 12, 2026
The pricing experience was a bit of a learning curve. Working in an on-premise environment with no cost is great. For cloud environments, I noticed that depending on the number of nodes used and the number of executions, the basic plan might not be enough, and this is something I learned through experience. These days, when I recommend n8n, I always go with the tier one pricing system, opting for the premium option.
My experience with pricing and setup costs has been good. I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, which is sufficient for me and my organization. It seems scalable, so if more executions are needed, I can pay a bit more.
In terms of infrastructure costs, an organization will have to pay for the monthly infrastructure needed for installation. However, when the volume of transactions or operations they need daily or monthly is compared to the operational cost in Make or Zapier, it is massively lower. With a local implementation, even though the organization has to pay the infrastructure cost, it massively outperforms the operations cost they would have to pay on a cloud implementation of Make or Zapier, putting them in a win-win situation.
n8n offers a flexible, low-code automation platform connecting over 200 applications to streamline workflows and increase efficiency through visual configurations and real-time monitoring.n8n provides a robust environment for automating tasks with extensive integrations, benefitting users through its adaptability and developer-friendly design. It supports AI model integrations like ChatGPT to enhance automation. While users value its configurability and real-time logs, they suggest...
Since we self-hosted, we avoided n8n's SaaS pricing entirely. Our costs are primarily on the Hostinger VPS subscription, which is quite reasonable at around fifteen to twenty dollars per month, plus the time investment in setting up Docker, configuring persistent storage, and managing the infrastructure ourselves. The licensing side is straightforward because the self-hosted version is open source. We do not have per-user seat costs or tiered pricing to negotiate. That makes it very cost-effective.
Once n8n has passed all the tests, it works fine, which is why people use it on a VPS instead of a local server. Using the paid version is somewhat expensive. The difference between the free version and paid version of n8n is that the paid version, if hosted locally, is almost the same. However, with the latest update from using the website, you get the AI assistant that can set up the flow for you automatically with prompts, which is a good feature. Cloudy also does the same, so people use Cloudy and they use a localhost of n8n. For example, I normally create a JSON file for the complete flow through my AI coder and then import it to the n8n canvas.
Pricing is a bit high, and the setup experience had no cost; it was entirely free and there was no licensing required for this.
The pricing experience was a bit of a learning curve. Working in an on-premise environment with no cost is great. For cloud environments, I noticed that depending on the number of nodes used and the number of executions, the basic plan might not be enough, and this is something I learned through experience. These days, when I recommend n8n, I always go with the tier one pricing system, opting for the premium option.
My experience with pricing and setup costs has been good. I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, which is sufficient for me and my organization. It seems scalable, so if more executions are needed, I can pay a bit more.
I do not have detailed information about the pricing, setup cost, or licensing cost of n8n.
In terms of infrastructure costs, an organization will have to pay for the monthly infrastructure needed for installation. However, when the volume of transactions or operations they need daily or monthly is compared to the operational cost in Make or Zapier, it is massively lower. With a local implementation, even though the organization has to pay the infrastructure cost, it massively outperforms the operations cost they would have to pay on a cloud implementation of Make or Zapier, putting them in a win-win situation.
For a small license part, I find n8n is reasonable. But the minute you expand, I believe it becomes a bit on the high side.