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n8n vs Relevance AI
A plain-English comparison to help you choose between them.
Control versus speed, stated plainly. Pick n8n when you want to own the machinery: open source and self-hostable, with data residency and compliance following from your own infrastructure, real code steps when visual nodes run out, and execution-based pricing that keeps volume cheap. Pick Relevance AI when the goal is delegating work to agents this month, without code: a managed platform where autonomous agents and multi-agent teams cover research, outreach and operations, with bring-your-own-key economics keeping usage visible.
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Side by side
- Summary
n8n is the engineer's automation platform: open source and self-hostable, with execution-based pricing that keeps high-volume workflows economical, visual nodes that accept real code when logic demands it, and first-class support for AI and agentic flows.
Self-hosting is the headline: data residency, compliance and cost control all follow from running it on your own infrastructure, with a hosted option when that is not the point.
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It rewards technical users and punishes casual ones: the curve is steeper than the consumer platforms, and the operational effort is yours.
- Best for
- Self-hosted automation with data residency
- Execution-based pricing at high volume
- Visual flows with real code where needed
- AI and agentic workflows under your control
- Technical teams who want to own the platform
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- Execution-based pricing (whole workflow = one execution) is usually cheaper than per-task, but AI Workflow Builder credits (50 Starter / 150 Pro) and any LLM API calls you wire in are metered separately, and Business overage is charged per block of extra executions. The sticker price is not the whole bill. Self-hosting shifts cost to your own infrastructure/maintenance.
- Summary
Relevance AI is a no-code platform for building an AI workforce: autonomous agents assembled from tools, triggers and instructions, deployed against real work such as outreach, research and operations tasks. Multi-agent teams coordinate on bigger jobs.
Its cost posture is unusually transparent: usage is metered in vendor credits passed through at wholesale with no markup, which keeps the economics visible while agents scale.
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As with every agent platform, always-on autonomy is earned: usage climbs with ambition, and supervision precedes trust.
- Best for
- Building autonomous agents without code
- Multi-agent teams coordinating on real work
- Wholesale vendor-credit cost control
- Usage transparency while agents scale
- Sales, research and ops agents in production
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Agents act across connected business tools; treat credential grants as the security boundary they are.
Pricing
- n8n
$20·$50·$800·Custom
Prices as of August 2026.
- Starter
- $20per monthbilled annually
- Pro
- $50per monthbilled annually
- Business
- $800per monthbilled annually
- Enterprise
- Price on applicationno list price published
- Relevance AI
Free·$19·$234·Custom
Prices as of August 2026.
- Free
- Free
- Pro
- $19per monthbilled annually; $29 per month if billed monthly
- Team
- $234per monthbilled annually; $349 per month if billed monthly
- Enterprise
- Price on applicationno list price published
By area
Where each one pulls ahead, area by area.
| Area | n8n | Relevance AI |
|---|---|---|
| By job | ||
| AI agents & automation | n8n moves a high-volume pipeline off per-task pricing onto execution-based cost, so the meter stops being the thing to watch | Relevance AI guards against the failure mode where an agent platform keeps working and nobody notices what it costs until the bill arrives |
| Founders & entrepreneurs | n8n builds AI-heavy flows with code where the visual nodes stop, so the ceiling is the founder's own patience rather than the platform's | Relevance AI puts an ops agent on keeping the records tidy, which is a job description rather than a pipeline |
| By task | ||
| Automation & agents | the workflows and everything they touch run on hardware the organisation already controls, so where the data sits was decided before the automation existed | an agent is described in plain language and started from a template that already works, so a first version exists before anyone has assembled a workflow out of nodes |
Common questions
n8n supports agentic flows too, so why buy an agent platform?
Because the products centre different things. n8n gives you first-class AI and agent nodes inside workflows you design, host and operate, which suits teams who want agents as components under engineering control. Relevance AI makes the agent the product: assembled from tools, triggers and instructions, deployed as a workforce without anyone running a server. If nobody on the team will own infrastructure, that answers it.
Which gives better cost control?
Both are unusually transparent, differently. n8n is free to self-host, with hosted plans priced by executions, so high-volume workflows stay economical and the marginal run costs little. Relevance AI lets you bring your own model keys and watch usage directly, but always-on agents consume steadily and consumption climbs with autonomy. Model a fleet's economics before it runs unattended; meter a workflow's volume before it scales.
What does each demand of the team?
n8n demands an owner: someone to run the server, apply updates and secure a platform holding credentials to every connected system, in exchange for residency and control. Relevance AI removes the infrastructure but not the supervision: agent autonomy is earned the way a new hire earns it, with narrow scopes and review before trust. Neither is a set-and-forget purchase.
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Tool facts last checked August 2026