Productivity · Head-to-head

n8n vs Microsoft 365 Copilot

n8n (freemium, AI Score 8.7/10) vs Microsoft 365 Copilot (freemium, AI Score 8/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick n8n if…

→overall capability matters more than price (AI Score 8.7 vs 8)
→your primary use case is developer-adjacent ops and engineering teams who want ai agents and internal integrations running on infrastructure they control, with server costs instead of a per-task meter.
→you need: agents, development

Try n8n →

Pick Microsoft 365 Copilot if…

→your primary use case is knowledge workers and it leaders at organizations already standardized on microsoft 365 who live in outlook and teams and need ai grounded in internal documents rather than a general-purpose chatbot.
→you need: content-creation, research

Spec	n8n	Microsoft 365 Copilot
Category	Productivity	Productivity
Pricing model	freemium	freemium
Headline pricing	Free self-hosted + Cloud from ~$20/mo	$30/user/mo (M365 Copilot); free Copilot Chat for M365 commercial seats; Copilot Pro $20/mo
Free tier	Community edition is free and self-hosted with unlimited workflows and executions; you pay only for the server. Cloud plans have a time-limited trial. Cloud tier prices and execution allowances change periodically — check n8n.io/pricing before quoting them.	Copilot Chat is included at no extra charge with eligible Microsoft 365 commercial subscriptions, but the in-app Copilot in Word, Excel, PowerPoint and Teams requires the paid $30/user/mo license.
AI Score	8.7/10	8/10
Best for	Developer-adjacent ops and engineering teams who want AI agents and internal integrations running on infrastructure they control, with server costs instead of a per-task meter.	Knowledge workers and IT leaders at organizations already standardized on Microsoft 365 who live in Outlook and Teams and need AI grounded in internal documents rather than a general-purpose chatbot.
Editor's pick	—	—
Use cases	productivity agents development	productivity content-creation research
Date added	2025-08-01	2026-05-01

Productivity · freemium

✓Self-hosted community edition runs unlimited workflows and executions for infrastructure cost only, with no per-task meter
✓Model-agnostic AI nodes span OpenAI, Anthropic, Google, Mistral, Groq and xAI plus local models via Ollama, so an agent can run with zero external API calls
✓MCP support works both ways — consume external MCP servers as agent tools, or expose a workflow as an MCP server to outside assistants
✓Code node runs JavaScript or Python inline, so a missing connector is solvable rather than blocking
✓Large public template library and an unusually active community, which shortens the path from idea to working workflow

×Fair-code, not open source — the Sustainable Use License bars offering it as a service, and SSO, RBAC, environments and log streaming are gated behind the enterprise license
×Running it seriously means queue mode with Redis and worker containers; the one-container Docker demo does not survive real agent load
×Cloud plans meter by execution, and an agent that retries and branches burns through an allowance far faster than the old two-step automations those tiers were sized for
×Steeper than Zapier or Make for non-developers — expression syntax and n8n's item-array data model are where most newcomers get stuck

Productivity · freemium

✓Grounding in your own tenant data through Microsoft Graph, respecting existing SharePoint and Exchange permissions rather than requiring a new data pipeline
✓Lives inside apps staff already open every day, so adoption doesn't depend on convincing anyone to switch tools
✓Analyst runs real Python against your spreadsheets and files instead of summarizing them, and Researcher returns cited multi-step investigations
✓Free Copilot Chat tier lets an organization put grounded AI in front of everyone and pay per seat only where it earns its keep
✓EU Data Boundary, tenant data residency and no-training-on-customer-data commitments most standalone assistants can't match

×$30/user/mo sits on top of an existing Microsoft 365 bill while Google includes Gemini in Workspace's base price — the per-seat case has to be made role by role
×Output quality is still uneven across the suite; Word and Outlook are the strong surfaces, PowerPoint and Excel generation less so
×Graph grounding amplifies existing permission sprawl — in a poorly governed tenant it surfaces documents people shouldn't see, and fixing that is a separate governance project
×Agent usage is metered separately from the seat license, so total cost is less predictable than the flat per-user headline suggests

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.