Gumloop vs n8n: AI agents or self-hostable automation
Gumloop vs n8n: n8n cloud starts at $20/month billed annually, or self-host the free community edition. Gumloop Pro starts at $37/month.
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Gumloop vs n8n comes down to what the work is. Gumloop is built around AI agents and language-model work, priced in credits plus an orchestration fee. n8n is a general-purpose workflow engine with AI as one capability among many, priced per workflow execution, and you can self-host it. For tools beyond these two, see the best Gumloop alternatives, or how CodeWords compares with Gumloop.
If most of your work involves a model reading, classifying, or generating something, the two are comparable. If your automations mostly move data between systems with occasional AI, start with n8n.
Prices were checked against Gumloop's pricing page and n8n's pricing page on 29 October 2026, and they change often.
Key takeaways
- Gumloop is an AI agent builder priced in credits, model tokens and an 8% orchestration fee, from $37 a month on Pro (Gumloop pricing page, 2026).
- n8n is a general workflow engine priced per execution, from $20 a month billed annually, with a free self-hosted community edition (n8n pricing page, 2026).
- n8n costs less for complex, low-frequency work. Gumloop is quicker to set up for AI-heavy work done by people who are not developers.
What we'll cover
- What each is built around
- The pricing, including a fee people miss
- The same workload, priced both ways
- Building and who can do it
- Integrations and reach
- What to test before committing
- Which to choose
- FAQs: Gumloop vs n8n
What each is built around
Gumloop is built around AI agents. Gumloop calls itself "the multiplayer AI agent builder" (Gumloop homepage, 2026): someone at a company builds an agent that uses their tools, others hand it tasks in chat, Slack, Teams or email, and the information technology (IT) team controls access. Gumloop gives access to models from several providers, with the option to bring your own application programming interface (API) keys. Its older visual flowchart builder is still available as Workflows (Legacy).
n8n is built around a workflow engine. In n8n, nodes connect systems, transform data, branch on conditions, and loop over collections, with AI agent and model nodes available alongside the rest. Code nodes let you drop into JavaScript or Python where the built-in nodes fall short. You can self-host n8n's free community edition. Gumloop has no self-hosted edition, though its Enterprise plan offers deployment in your own cloud.
In practice, Gumloop makes AI-heavy work quick to set up and limits what else you can do. n8n makes almost anything possible and asks more of you for the AI parts.
The pricing, including a fee people miss
Gumloop Pro starts at $37 a month, including 20,000 credits, unlimited seats, and unlimited agents (Gumloop pricing page, 2026). Enterprise is custom-priced. There is no free plan: the 14-day trial needs a card and rolls into Pro.
Gumloop also charges an orchestration fee. Each Gumloop run is billed for the model tokens it uses at the provider's price, plus credits for each tool call and each active minute, plus an 8% orchestration fee. If you bring your own model API keys, agent chats carry a 16% fee worked out on the full value of the run, according to Gumloop's credits docs (2026). At high volume, the fee adds a noticeable share to the monthly bill.
n8n bills by workflow execution, however many steps the workflow has. n8n cloud starts at $20/month billed annually for 2,500 executions on Starter (n8n pricing page, 2026). Pro is $50 a month billed annually for 10,000, and Business is $800 a month for 40,000. Every plan includes unlimited users. You can also self-host the free community edition, which costs nothing in licence fees, only your server and your time.
The two pricing models reward opposite things. n8n does not care how many steps a workflow has, so complexity is free and frequency is what costs. Gumloop's credits are consumed by what the run actually does, so model-heavy runs cost more than trivial ones. Credit pricing tracks AI work more closely, and it is harder to forecast.
The same workload, priced both ways
The same workload can favour either tool, depending on how often it runs and how much AI it uses. Three examples:
A research workflow: 200 runs a month, each making a dozen model calls over long documents. Gumloop: this is what it is for, and the token and credit use is meaningful given the document lengths, with the orchestration fee on top. n8n: 200 executions fits easily inside Starter at $20, and you pay your model provider directly for the twelve calls. n8n plus your own API keys usually costs less here. Gumloop is usually faster to build and easier to change.
A data-sync workflow: 20 steps, 5,000 runs a month, no AI at all. n8n: 5,000 executions on Pro at $50, and the twenty steps cost nothing extra. Gumloop: this is not the tool, and paying an AI platform's credits plus a fee for work with no AI in it makes little sense. n8n wins outright.
A classification workflow: 10,000 short messages a month, one model call each. Gumloop: 10,000 light runs, each billed for its tokens and tool calls, with the build done quickly. n8n: 10,000 executions puts you on Pro at $50 plus model costs. The costs are close, so the deciding factor is who is building, not the money.
Across the three examples, n8n's execution pricing rewards complex, low-frequency work; Gumloop's credit pricing rewards work where the AI is doing something proportionate to what you are charged.
Building and who can do it
Gumloop is more approachable for non-developers working on AI tasks. You tell a new agent what it should take care of, and it connects apps and writes its own instructions. Someone in marketing or research can get something useful running without understanding data structures.
n8n rewards technical users and can frustrate everyone else. Data moves between nodes as structured items, and understanding that structure decides whether n8n feels flexible or obstructive. For a developer n8n is excellent. For an operations colleague n8n takes real time to learn.
Neither tool removes all of the translation work: holding the process in your head and expressing it in the tool's vocabulary.
Take one weekly job: every Monday, summarize last week's new HubSpot deals and post the summary in Slack. In n8n, you add a Schedule Trigger node, a HubSpot node filtered to last week's deals, a node that reshapes the deal items for the model, an OpenAI node with the prompt, and a Slack node, then map the fields between each one. In Gumloop, you write the agent's instructions, connect HubSpot and Slack, and set a weekly trigger, and the agent works out the steps on each run. On CodeWords, you type the job as written in the first sentence of this paragraph.
On CodeWords you describe a recurring job and Cody builds it into a workflow, connects it to the tools you already use, and deploys it, with more than 3,000 integrations available. The free plan covers 100 workflow runs, with Pro at $39 per month and Business at $100 per month as usage grows; details are on the pricing page.
Integrations and reach
n8n's reach comes from its built-in nodes plus a generic HTTP Request node that calls anything with an API. That combination means a missing integration is usually a documented API call rather than a blocker, which makes the headline catalog number less important than it looks.
Gumloop connects to tools through Model Context Protocol (MCP) servers, and lists 250+ of them on its connectors page. The list leans toward the tools AI work touches: documents, web scraping, search, spreadsheets, and messaging. Check it before you commit if your process touches an unusual line-of-business system.
The useful check for either is the same: name the three to five systems your process actually touches and confirm both cover those, rather than comparing catalog sizes neither of you will use up.
What to test before committing
Before committing to Gumloop or n8n, run a short trial on each. Gumloop's trial needs a card, and n8n's cloud trial does not. Test four things:
Build your second-hardest process, not your simplest. The easy one works everywhere and tells you nothing. Something with a condition and two systems shows you where each tool strains.
Feed it your actual data, including the awkward records. The document with the unusual layout, the message in another language, the record with a missing field. Model-based workflows behave very differently on clean test data than on real inputs, and this is the fastest way to find out.
Price it at ten times your current volume. Count your runs and your steps, then apply Gumloop's tokens, credits and orchestration fee, and n8n's execution count plus your model provider's charges. Automation spreads once it works, and a bill that is comfortable in month one can be uncomfortable by month six.
Hand it to a colleague and ask for a change. If they cannot work out how, you have found your maintenance cost. This matters more on n8n, where understanding the data structure between nodes is the barrier.
Which to choose
Choose Gumloop or n8n based on how central AI is to the work and who is building it.
Gumloop if language models are the point of the work rather than a step in it, if the people building are not developers, if you want agents people can hand tasks to in Slack or Teams, or if you value building quickly over controlling every detail.
n8n if your automations are mostly system-to-system with occasional AI, if you need self-hosting for data residency or cost, if your team is technical, or if your workflows are complex enough that per-execution pricing saves real money.
Either, with care about the fee. If you are comparing on cost, model Gumloop with the orchestration fee included and n8n with your model provider's charges included. Comparing one subscription price against another will mislead you in both directions.
FAQs: Gumloop vs n8n
How much does Gumloop cost per month?
Gumloop costs from $37 a month on Pro, with 20,000 credits and unlimited seats (Gumloop pricing, checked 29 October 2026). Model tokens and an 8% orchestration fee are billed on top, so heavy AI runs use credits faster. Enterprise is custom-priced, and Gumloop has no free plan.
Can Gumloop be self-hosted?
No, Gumloop has no self-hosted edition you can run yourself. Its Enterprise plan offers deployment in your own cloud. If you need to run the software on your own servers, n8n is the option of the two that supports it.
What exactly is the orchestration fee?
Gumloop's orchestration fee is 8% on top of each run's token and credit costs (Gumloop credits docs, checked 29 October 2026). With your own model key, agent chats carry 16%, worked out on the full value of the run. Include it when modelling cost.
Does n8n have AI features?
Yes, n8n has AI agent nodes, model nodes, and tool-calling. The AI nodes sit inside a general-purpose workflow tool, so you can mix model steps with ordinary app and data steps. You bring your own model keys and pay the model provider directly.
Which is better for processing documents?
Gumloop is better for processing documents for most teams, because reading and extracting from documents is the kind of work it was built for. n8n can do the same with model nodes and more assembly, which is worth it if the surrounding workflow is complex.
Is bringing my own API keys cheaper?
Yes, bringing your own API keys is usually cheaper, since you pay the model provider's rate directly. On Gumloop the orchestration fee still applies, and agent chats on your own key carry 16%. On n8n, you pay the provider directly with no platform margin on the tokens.
Which has the better free option?
n8n has the better free option: the self-hosted community edition is free with no time limit, and its cloud trial needs no card. Gumloop has no free plan, and its 14-day trial needs a card and rolls into Pro unless you cancel.
How do the two handle long-running workflows?
Long-running workflows hit n8n's concurrency limits first: 5 runs at once on Starter, 20 on Pro, since each running workflow takes a slot. Gumloop also caps concurrent runs. For anything that waits hours on a person or another system, check the timeout rules on whichever you pick.
Which is better if my team is a mix of technical and non-technical people?
A mixed team is where the two differ most. n8n gives your developers everything they want and leaves your operations colleagues dependent on them. Gumloop lets the operations side build and limits what the developers can do when a workflow outgrows it. Some mixed teams run both, which means two tools to manage.
Does n8n's execution limit count failed runs?
Yes, n8n's execution limit counts failed runs: a production run that starts uses an execution whether or not it succeeds. That matters if something fails repeatedly, so set up failure alerts rather than finding the pattern in a usage graph at the end of the month.
Can I start on one and move to the other later?
Yes, you can move from one to the other later, but it is a rebuild rather than a migration, since neither exports into the other's format. Write down what each workflow does as logic (trigger, steps, output, exceptions) separately from the tool that runs it. That description survives any move.
Which is faster to get a first working automation?
Gumloop is faster to a first working automation for AI work, because you describe the task and the agent sets itself up. n8n is faster for anyone who already thinks in terms of APIs and data structures, and slower for everyone else.
What is better than n8n?
What is better than n8n depends on the job. Gumloop suits AI-heavy work by people who are not developers. Activepieces is another open-source tool you can self-host. CodeWords builds a workflow from a plain description of the job, so nobody has to connect nodes or map fields between them.
Is n8n becoming obsolete?
No, n8n is not becoming obsolete. It is still actively developed, has added AI agent and model nodes, and offers both cloud plans and a free self-hosted edition. Whether n8n fits you depends on how technical your team is and who maintains the workflows.
What are some good alternatives to Gumloop?
Good alternatives to Gumloop include n8n, Zapier, Make and CodeWords, and the right one depends on the job. n8n suits technical teams that want self-hosting. Zapier and Make suit simple app-to-app automations. CodeWords suits recurring jobs you would rather describe than build.
Updated 30 October 2026: added a worked example of one weekly job in each tool, a key takeaways list and inline sources, and took links out of the FAQ answers. Updated 29 October 2026: rechecked Gumloop and n8n pricing in US dollars, corrected the orchestration fee and self-hosting details, and added answers to common search questions.