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Decagon vs Google Gemini: Complete Comparison (2026)

An in-depth comparison of Decagon and Google Gemini to help you choose the right tool for your business.

Last updated: November 2026

Decagon logo

Decagon

6.9/10

Decagon is an enterprise platform for AI customer service agents that resolve support conversations over chat, email and voice.

Google Gemini logo

Google Gemini

7.2/10

Winner

Google's family of generative AI models and assistants, sold to businesses through Gemini Enterprise, Workspace plans and a pay-per-token developer API.

Feature-by-Feature Comparison

Feature
Decagon logo
Decagon
Google Gemini logo
Google Gemini
Scores
Overall Rating6.9/107.2/10
Integration7/107/10
Analytics8/105/10
Customization8/108/10
Ease of Use6/107/10
Support8/105/10
Cost3/107/10
Scalability9/109/10
Security8/108/10
Output Quality8/108/10
Pricing
Free planNoYes
Cheapest paid planContact for pricing$21/user/mo
Gemini Enterprise Business
Estimated cost for 10 usersContact for pricing$210/mo
Gemini Enterprise Business
Features
AI Agents
Knowledge Base Search
Text Generation
Voice and Audio
Workflow Automation
API AccessNot listed
ChatbotsNot listed
Code GenerationNot listed
Custom Model TrainingNot listed
Enterprise ControlsNot listed
Image GenerationNot listed
Video GenerationNot listed

Decagon vs Google Gemini cost by team size

Team sizeDecagonGoogle Gemini
1 userContact for pricing$21/moGemini Enterprise Business
5 usersContact for pricing$105/moGemini Enterprise Business
10 usersContact for pricing$210/moGemini Enterprise Business
25 usersContact for pricing$525/moGemini Enterprise Business
50 usersContact for pricing$1,050/moGemini Enterprise Business

The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.

Which One Should You Choose?

Decagon logo
Why choose Decagon

  • Higher Analytics score (8/10 vs 5/10)
  • Higher Support score (8/10 vs 5/10)

Google Gemini logo
Why choose Google Gemini

  • Has a free plan (Decagon does not)
  • Higher Cost score (7/10 vs 3/10)
  • Higher Ease of Use score (7/10 vs 6/10)
  • Better fit for small business (7/10 vs 2/10)
  • Better fit for startups (8/10 vs 3/10)

Pros & Cons

Decagon logo
Decagon

Pros

  • Chat, email and voice agents run on one shared intelligence layer, so behaviour stays consistent across channels.
  • Agent workflows are written as natural-language AOPs, so support operations staff can define multi-step actions such as refunds.
  • Built-in A/B experiments, simulation testing and Watchtower QA support ongoing tuning at scale.
  • Large reference customers report results, for example 70% chat and voice resolution at Chime and an 80% deflection rate at Duolingo.
  • Reviewers on G2 rate it highly, with an average around 4.9 out of 5, and praise how quickly support responds.

Cons

  • There is no public pricing, so every quote needs a sales call.
  • Under per-conversation billing you pay even when the AI fails to resolve an issue.
  • Reviewers report an average implementation time of about two months.
  • Third parties describe helpdesk integrations as API-based rather than marketplace apps, and some reviewers mention missing features.
  • It is not suited to startups or small businesses.

Google Gemini logo
Google Gemini

Pros

  • Many API models have a free tier, and Flash-Lite models cost from $0.10 to $0.30 per million input tokens.
  • It is built into Gmail, Docs, Sheets, Meet and Drive for Workspace customers, starting with the €6.80 Starter plan.
  • The Standard edition adds VPC Service Controls, customer-managed encryption keys and data-residency controls.
  • The self-serve Business edition includes connectors to Microsoft 365, HubSpot and Jira as well as Google tools.

Cons

  • Licensing is fragmented across Gemini Enterprise, Workspace, consumer AI plans and the API, and Plus has no public price.
  • Users report unclear usage limits and silent downgrades from Pro to lighter models.
  • Several API prices are scheduled to double in December 2026 and January 2027.
  • Reviewers say third-party connectors to Salesforce, SAP and ServiceNow are less mature than Microsoft Copilot's.

Not sold on either?

Frequently Asked Questions

Google Gemini scores higher on our AI Software criteria: 7.2/10 against 6.9/10 for Decagon. The largest gap is in Cost: 3/10 for Decagon and 7/10 for Google Gemini.

Google Gemini has a free plan; Decagon does not list one.

Google Gemini is the better fit for freelancers: we rate it 6/10 for them, against 1/10 for Decagon.

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