TL;DR: Most self-hosters should pay for exactly none of these. Ollama, Open WebUI, and n8n are fully functional in their free self-hosted versions; the paid tiers sell compute you may not have (Ollama Cloud, $20/month), legal branding rights you probably don’t need (Open WebUI enterprise, 50+ users only), and hosting convenience you can replace with a $6 VPS (n8n Cloud, from €20/month). Pay only when the specific thing being sold matches a real constraint you have.

	Ollama Cloud Pro	Open WebUI enterprise	n8n Cloud Starter
Price (Sep 2026)	$20/month	~$5,000/year (community-reported, 50 users)	€20/month billed annually
What you’re actually buying	Datacenter GPUs for models your card can’t fit	Rebranding rights + support for 50+ user orgs	Managed hosting, 2,500 executions/month
Free version misses	Nothing, if your GPU fits your models	Nothing under 50 users	Nothing — unlimited executions self-hosted

Honest take: n8n Community Edition on a cheap VPS is the clearest “don’t pay” of the three. Ollama Cloud is the only one a solo user should even consider, and only if buying a 24GB GPU isn’t on the table.

The open-source AI stack has quietly grown paid tiers. Ollama added a cloud subscription, Open WebUI added an enterprise license with a branding clause, and n8n has always run a fair-code dual model. None of this makes the tools less usable for free — but each project now has a page asking for your card number, so it’s worth being precise about what the money buys. Prices below were checked September 2026; all of them change, so treat the vendor pricing page as the final word.

Is Ollama Cloud worth $20 a month?

Only if you don’t own a GPU that fits the models you want, and you don’t want to buy one. Ollama’s local runtime remains free, MIT-licensed, and fully offline — the Pro subscription (about $20/month, September 2026) buys usage of larger models running on Ollama’s datacenter GPUs, accessed through the same CLI and API you already use. A free cloud tier exists with tight usage caps, and higher-priced tiers add more headroom; current limits are on ollama.com’s pricing page and have shifted during 2026, so verify before subscribing.

The hardware math is what decides this. Local Ollama is only “free” if you own the silicon:

What you want to run	VRAM needed (Q4 quantization)	Hardware cost (Sep 2026)
7–8B models (basic chat, drafting)	~6–8 GB	Many gaming cards already qualify — $0 marginal
30B-class models (serious coding help)	~20–24 GB	Used RTX 3090 24GB, roughly $1,000–1,150 used
70B+ / 100B+ MoE models	48 GB+ or unified memory	$2,000+ — see the year-one cost breakdown

Against that table, $20/month for datacenter-hosted large models is $240/year — about four years of subscription before you’ve spent one used RTX 3090. If you need big-model quality for a bursty project rather than daily use, renting a GPU by the hour on RunPod undercuts both: you pay only for hours used and keep full control of the runtime.

The catch, and it’s a big one for this site’s readers: Ollama Cloud sends your prompts to someone else’s servers. If privacy was your reason for running Ollama in the first place, the paid tier removes the property you were self-hosting for. It’s a good product for “I want the Ollama workflow with more horsepower” — it is not self-hosting.

Worth it when: no GPU budget, need occasional access to models above your VRAM ceiling, privacy is not the driver. Skip when: your models already fit locally, you process sensitive data, or you’d hit it hard enough that a used GPU pays for itself inside two years.

Do you need the Open WebUI enterprise license?

Not under 50 users — below that threshold the license costs nothing and restricts almost nothing. Open WebUI moved off pure BSD-3 in 2025 to its own license: BSD-3-based with an added branding-protection clause. According to the project’s license documentation, deployments with 50 or fewer users may still remove or replace the Open WebUI branding freely; larger deployments must keep the branding visible unless they hold an enterprise license. Functionality is not gated — the full feature set ships in the open repository either way.

Enterprise pricing is not publicly listed. Community-reported figures put it around $5,000/year for a 50-user base with per-user pricing beyond that (roughly $3/user/month in buyer reports) — treat those numbers as indicative and get a real quote, since terms vary by deployment. What the license buys is white-labeling rights, dedicated support, and procurement paperwork — the things a company with a legal department cares about.

For an individual or homelab, this entire section is moot: install it, rebrand it if you like, pay nothing. If you’re picking a chat frontend in the first place, the LibreChat vs Open WebUI vs Chatbot UI comparison covers the tradeoffs; LibreChat remains MIT-licensed with no branding clause, which matters if your org is allergic to license riders.

Worth it when: 50+ users AND you must white-label, or you need a support contract to pass procurement. Skip when: fewer than 50 users (that’s a hard threshold, not a suggestion), or branding doesn’t bother anyone.

Should you pay for n8n Cloud or self-host the Community Edition?

Self-host it. n8n is the weakest case for paying of the three, because the free self-hosted Community Edition has no execution limits at all, while the paid cloud plans meter exactly that. n8n Cloud Starter runs €20/month billed annually (September 2026) and caps you at 2,500 workflow executions per month; the Pro plan is €50/month. The Community Edition you run yourself: unlimited executions, unlimited workflows, all integrations.

The self-hosting bar is low — this is not an LLM. n8n runs comfortably in 2 GB of RAM on a €4–12/month VPS or on a Raspberry Pi that’s already in your closet:

docker run -d --name n8n -p 5678:5678 \
  -v n8n_data:/home/node/.n8n \
  docker.n8n.io/n8nio/n8n
# Expected: container ID prints; UI comes up at http://localhost:5678
# First launch asks you to create an owner account

A problem you will actually hit: workflows with webhook triggers silently fail behind NAT because external services can’t reach your instance. The fix is setting WEBHOOK_URL to a publicly reachable HTTPS address and putting the instance behind a reverse proxy or tunnel — that, plus backups of the n8n_data volume, is essentially the whole maintenance burden. If you’re wiring n8n to local models anyway, the n8n + Ollama automation guide walks through that stack.

One caveat this site cares about: n8n is fair-code under the Sustainable Use License, not OSI-approved open source. Self-hosting for your own or your company’s internal use is free and legal; reselling n8n as a hosted service to third parties is not. For internal automation — the thing 99% of readers are doing — the license changes nothing.

Worth it when: you can’t or won’t run a server at all, or your company wants SLAs and SSO without ops work. Skip when: you can run a Docker container. At 2,500 executions for €240/year vs unlimited executions for ~€70/year of VPS, the cloud plan only wins on convenience.

When NOT to pay for any of this

Paying for a paid tier of a free tool is rational only when the paid delta matches a constraint you actually have. Concretely, don’t pay when:

• Your hardware already covers your models. If everything you run fits in your VRAM, Ollama Cloud buys you nothing but latency to someone else’s datacenter.
• Privacy or data residency is why you self-host. Ollama Cloud and n8n Cloud both move your data off-premises. That’s not an upgrade — it’s the failure mode you were avoiding. The when-not-to-self-host guide makes the reverse argument too: if privacy isn’t your driver, maybe skip self-hosting entirely rather than half-paying for it.
• You’re under the threshold that makes the paid tier exist. Open WebUI under 50 users, n8n under a VPS-worth of executions: the free tier isn’t a trial, it’s the product.
• You’re trying to “support the project” with a subscription you won’t use. Ollama and Open WebUI both take contributions and GitHub sponsorships; an unused $240/year subscription is a donation with worse accounting.
• The subscription would outspend hardware inside ~2 years. $20/month is $480 over two years — most of the way to a used 24GB card that then costs you only electricity. Run the FOSS vs SaaS break-even math before subscribing to anything.

What to actually buy

Prices as of September 2026, all discussed above:

Your situation	The move	Price	Where
Models don’t fit your GPU, daily use, privacy not critical	Ollama Cloud Pro	$20/month	ollama.com/pricing
Models don’t fit, bursty/occasional use	Rented GPU by the hour	RTX 3090 from $0.07/hr, 4090 from $0.14/hr	Vast.ai
Models don’t fit, long-term daily use	Used RTX 3090 24GB	~$1,000–1,150 used	Check price
50+ seat Open WebUI with your own branding	Enterprise license quote	~$5k/yr reported	docs.openwebui.com/enterprise
Automation without running any server	n8n Cloud Starter	€20/month annual	n8n.io/pricing
Automation, willing to run Docker	n8n Community + small VPS	~€4–12/month	Vultr and similar

FAQ

Does the free version of any of these tools lose features to push you toward paying? Not as of September 2026. Ollama’s local runtime, Open WebUI’s full feature set, and n8n Community Edition are all complete products; the paid tiers add compute, branding rights, and hosting rather than unlocking withheld features. Watch n8n most closely — fair-code projects gate features by edition more often than MIT/BSD projects do, and some enterprise features (SSO variants, environments) already sit behind paid editions.

Is Ollama Cloud private? No more private than any other hosted API — your prompts run on Ollama’s infrastructure. Ollama states cloud usage policies on its site; read them before sending anything sensitive. If your threat model requires prompts never leaving your network, only local inference qualifies, whatever the vendor promises.

Can I use free Open WebUI at a 200-person company? Yes, if you keep the Open WebUI branding intact. The license’s branding clause binds deployments over 50 users; it does not gate features or charge per seat. You need the enterprise license only to remove branding at that scale or to get contractual support.

Sources

• Ollama pricing page (ollama.com/pricing) — cloud tier prices and usage caps, checked September 2026
• Open WebUI license and enterprise documentation (docs.openwebui.com/license, /enterprise) — branding clause and 50-user threshold
• n8n pricing page (n8n.io/pricing) and Sustainable Use License (docs.n8n.io) — Cloud Starter execution limits, fair-code terms
• Community pricing reports for Open WebUI enterprise (Opsily, buyer-reported figures, 2026)
• eBay sold listings, September 2026 — used RTX 3090 24GB price range

What self-hosting actually costs

Real cost breakdowns for self-hosted AI: hardware floors, power, maintenance hours, and the honest comparison against paying for it. No spam, unsubscribe anytime.

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