n8n vs Viktor (2026): Pricing, Features & Verdict

Why choose n8n

• Higher Customization score (9/10 vs 7/10)
• Higher Cost score (8/10 vs 6/10)
• Better fit for enterprise (7/10 vs 5/10)

Why choose Viktor

• Higher Ease of Use score (8/10 vs 5/10)
• Better fit for small business (8/10 vs 6/10)

n8n

Pros

• Billing is per complete workflow run rather than per step, so long multi-step AI workflows cost the same as simple ones, and every plan includes unlimited users.
• The free Community Edition and the self-hosted Business plan let teams keep data and AI workflows on their own infrastructure.
• AI building blocks include agent nodes with memory and tools, vector-store RAG, an embeddable chat trigger, MCP connections, evaluations and human approval steps.
• Supports multiple LLM providers, including OpenAI, Anthropic and Google, in the same workflow, plus JavaScript code nodes and an HTTP node for APIs without a native connector.
• Reviews are strong, with an average of about 4.7 out of 5 on G2 and 4.6 on Capterra.

Cons

• The learning curve is the most cited complaint on G2, with about 41 reviews mentioning it. Non-developers struggle with JSON mapping and debugging.
• The Business plan with SSO and Git costs about EUR 800 a month and is self-hosted only, a big jump from Pro at EUR 60.
• Self-hosters handle updates, security patches and scaling themselves. Queue mode needs Redis and separate workers.
• The Sustainable Use License limits embedding n8n in a commercial SaaS product without a paid agreement.
• Starter and Pro include only forum support. Dedicated, SLA-backed support requires Enterprise.

Viktor

Pros

• Pricing is per workspace, not per seat, so a 10-person team pays the same base price as a 3-person team.
• Runs inside existing Slack or Teams threads, and reviewers report setup takes minutes with one-click OAuth connections.
• Takes real actions in connected tools, such as updating CRM records, opening pull requests and building dashboards, rather than only answering questions.
• Approval gates for payments, code pushes and customer emails, and credentials are injected by a backend gateway so the model never sees them.
• Paid plans include a public API, an OpenAI-compatible endpoint and an MCP server, so developers can call Viktor from their own tools.
• Strong early ratings on G2, at about 4.9 out of 5 across roughly 43 to 51 reviews.

Cons

• Credit costs are hard to forecast because tasks range from about 100 to 5,000 credits, and recurring scheduled jobs charge on every run.
• Several users report burning through credits quickly, including one who spent $200 in two days while learning the product.
• Only SOC 2 Type I is certified. Type II and ISO 27001 are still in progress, and configurable data retention is on the roadmap.
• SSO, audit logs and EU data residency are limited to Enterprise contracts.
• Reviewers say it can forget or assume details and gives verbose answers, so its output needs checking.
• Not a dedicated helpdesk: it lacks macros, SLA policies, CSAT reporting and a customer-facing widget.