SoftwareGlimpse

Gemini vs n8n

Compare Gemini and n8n on features, pricing, and buyer fit using the same researched criteria.

Independently recommendedLast updated Aug 18, 20266 evidence sources5 screenshotsHow we compare
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Gemini logo

Gemini

8/10

Google LLM assistant — Free; Google AI Pro $19.99/mo; Ultra from $99.99/mo for highest model access.

Best for

  • Google Workspace-centric teams wanting an integrated LLM assistant
  • Buyers who value Gemini inside Docs, Gmail, and Drive workflows
  • Individuals already paying for Google One who want AI bundled

Starting from $19.99/user/mo

Free plan available

VS

Our verdict

Our verdict

No universal winner

No universal winner. Choose based on which criteria matter most for your team.

Gemini is better for

  • LLM assistant depth
  • Writing assistance
  • Voice / TTS depth
  • Integrations

n8n is better for

  • Agent / builder depth
  • Governance & privacy
  • Usage / credits model

Tie

  • Free plan

Choose Gemini if: Google Workspace-centric teams wanting an integrated LLM assistant

Choose n8n if: Teams that want Community self-host or EUR Cloud execution volume

See detailed comparison ↓
n8n logo

n8n

8/10

Workflow automation — Community self-host free; Cloud Starter €20/mo annual (2.5k executions + AI credits); Pro €50; Business €667; Enterprise quote.

Best for

  • Teams that want Community self-host or EUR Cloud execution volume
  • Builders comfortable with a node graph instead of Zapier’s editor
  • Buyers who need automation overlay, not ChatGPT as the home screen

Starting from $20.00/user/mo

Free plan available

Evidence & transparency

Sources and research process behind this comparison.

Sources

6

Criteria

10

Screenshots

5

Sources consulted

TitleProductType
Gemini — Official SiteGeminiofficial-product-page
Gemini PricingGeminiofficial-pricing-page
Google AI SubscriptionsGeminiofficial-product-page
n8n — Official Siten8nofficial-product-page
n8n Pricingn8nofficial-pricing-page
n8n pricingn8nofficial-product-page

Methodology steps

  1. 1Collect first-party product and pricing evidence
  2. 2Map both products to the same category criteria
  3. 3Record criterion outcomes with confidence and sources
  4. 4Publish only when editorial gates allow indexing

Methodology version 1.0.0.

Independent

Affiliate relationships never change comparison outcomes. We evaluate both products on the same criteria and allow ties when evidence does not support a universal winner.

Read full methodology →

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Affiliate disclosure: some links may be affiliate links. We may earn a commission at no extra cost to you. Rankings and scores are never based on commission. Full disclosure

Methodology disclosure: scores and recommendations follow SoftwareGlimpse evaluation criteria (version 1.0.0). Affiliate relationships do not determine rankings.

How we recommend: product claims are tied to recorded research where available.

AI-assisted disclosure: drafts may be AI-assisted from approved facts and assessments. Humans approve publishable editorial judgments. AI does not invent live prices or claim hands-on testing.