Gemini vs n8n

Side-by-side comparison — features, pricing, pros and cons

Freemium

4.3

Google's multimodal AI assistant built on the Gemini 3.1 architecture, notable for deep Google Workspace integration and 77.1% on the ARC-AGI-2 benchmark. Available across free, AI Pro ($20/mo), and Ultra ($250/mo) tiers with progressively larger context and model access. Strongest competitor to ChatGPT for users already in the Google ecosystem.

Category:AI Assistants

Features

Gemini 3.1 Pro model with multimodal input (text, image, audio, video)
77.1% score on ARC-AGI-2 abstract reasoning benchmark
Deep integration with Gmail, Docs, Sheets, Drive, and Meet
NotebookLM integration for research with source citations
Google Search grounding for real-time factual responses
+3 more

Pros

Google Search grounding provides current information without hallucination risk of pure model outputs
Native Google Workspace integration means no copy-pasting between tools for Docs/Sheets users
ARC-AGI-2 score of 77.1% leads all commercial models on abstract reasoning tasks
NotebookLM included in AI Pro tier provides citation-backed research at no extra cost

Cons

AI Ultra at $250/mo is 12.5x the price of Pro with modest real-world gains for most use cases
Gemini 3.1 Ultra access is gated to Ultra tier; Pro users get 3.1 Pro which lags on creative tasks
Google Workspace integration requires organizational admin approval, blocking individual use in enterprise
Voice mode is less natural than ChatGPT's real-time voice in head-to-head comparisons
Data privacy terms differ from ChatGPT; free tier data may be used for model training by default

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n8n

Freemium

4.2

Open-source workflow automation platform under a fair-code license with the best AI/LangChain integration of any automation tool. Self-host for unlimited free executions on a $5-20/month VPS, or use managed cloud hosting. Backed by $180M Series C at a $2.5B valuation in October 2025, n8n has 70+ dedicated AI nodes for building LLM pipelines, agent workflows, and RAG systems.

Category:Workflow Automation

Features

70+ AI and LangChain nodes (most AI-capable automation platform)
Self-hosted option with unlimited executions on any server or VPS
Full JavaScript and Python code execution nodes
Visual workflow builder with drag-and-drop interface
400+ integrations including HTTP request node for any REST API
+5 more

Pros

Self-hosted at ~$10-20/mo VPS cost handles 50,000+ executions — Zapier charges $1,000+ for the same volume
AI/LangChain integration depth is unmatched — build complete RAG pipelines and multi-agent workflows visually
Fair-code license means you own your automation data and workflow code, no vendor lock-in
Full JavaScript execution node allows logic that no other automation tool can handle without code

Cons

Steepest learning curve of the three major automation platforms — expect 5-10 hours to build your first complex workflow
Self-hosting requires Docker knowledge and ongoing maintenance (updates, backups, monitoring)
Documentation has gaps for advanced edge cases and newer AI nodes; community forum is the primary resource
Cloud pricing ($20-100/mo) is less competitive than self-hosting; only justified if DevOps resources are scarce

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Tool	GeminiView details →	n8nView details →
Pricing	Freemium	Freemium
Rating	4.3	4.2
Category	AI Assistants	Workflow Automation
Description	Google's multimodal AI assistant built on the Gemini 3.1 architecture, notable for deep Google Workspace integration and 77.1% on the ARC-AGI-2 benchmark. Available across free, AI Pro ($20/mo), and Ultra ($250/mo) tiers with progressively larger context and model access. Strongest competitor to ChatGPT for users already in the Google ecosystem.	Open-source workflow automation platform under a fair-code license with the best AI/LangChain integration of any automation tool. Self-host for unlimited free executions on a $5-20/month VPS, or use managed cloud hosting. Backed by $180M Series C at a $2.5B valuation in October 2025, n8n has 70+ dedicated AI nodes for building LLM pipelines, agent workflows, and RAG systems.
Features
Gemini 3.1 Pro model with multimodal input (text, image, audio, video)
77.1% score on ARC-AGI-2 abstract reasoning benchmark
Deep integration with Gmail, Docs, Sheets, Drive, and Meet
NotebookLM integration for research with source citations
Google Search grounding for real-time factual responses
Code execution sandbox for Python data analysis
AI Ultra tier with access to Gemini 3.1 Ultra model
Gemini API with 2M token context for developers
70+ AI and LangChain nodes (most AI-capable automation platform)
Self-hosted option with unlimited executions on any server or VPS
Full JavaScript and Python code execution nodes
Visual workflow builder with drag-and-drop interface
400+ integrations including HTTP request node for any REST API
Fair-code license — modify, self-host, and distribute without vendor lock-in
Docker and Kubernetes deployment with official Helm charts
AI agent nodes: chain LLMs, memory, tools, and data sources visually
Webhook triggers, cron schedulers, and 50+ event-based triggers
Enterprise SSO, RBAC, and audit logs on hosted plans
Pros
	Google Search grounding provides current information without hallucination risk of pure model outputs Native Google Workspace integration means no copy-pasting between tools for Docs/Sheets users ARC-AGI-2 score of 77.1% leads all commercial models on abstract reasoning tasks NotebookLM included in AI Pro tier provides citation-backed research at no extra cost	Self-hosted at ~$10-20/mo VPS cost handles 50,000+ executions — Zapier charges $1,000+ for the same volume AI/LangChain integration depth is unmatched — build complete RAG pipelines and multi-agent workflows visually Fair-code license means you own your automation data and workflow code, no vendor lock-in Full JavaScript execution node allows logic that no other automation tool can handle without code
Cons
	AI Ultra at $250/mo is 12.5x the price of Pro with modest real-world gains for most use cases Gemini 3.1 Ultra access is gated to Ultra tier; Pro users get 3.1 Pro which lags on creative tasks Google Workspace integration requires organizational admin approval, blocking individual use in enterprise Voice mode is less natural than ChatGPT's real-time voice in head-to-head comparisons Data privacy terms differ from ChatGPT; free tier data may be used for model training by default	Steepest learning curve of the three major automation platforms — expect 5-10 hours to build your first complex workflow Self-hosting requires Docker knowledge and ongoing maintenance (updates, backups, monitoring) Documentation has gaps for advanced edge cases and newer AI nodes; community forum is the primary resource Cloud pricing ($20-100/mo) is less competitive than self-hosting; only justified if DevOps resources are scarce
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