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Gemini Enterprise vs OpenAI Codex: Complete Comparison (2026)

An in-depth comparison of Gemini Enterprise and OpenAI Codex to help you choose the right tool for your business.

Last updated: November 2026

Gemini Enterprise logo

Gemini Enterprise

7.1/10

Winner

Google Cloud's workplace AI platform that combines Gemini models, permission-aware enterprise search, connectors, and no-code agents for business teams.

OpenAI Codex logo

OpenAI Codex

6.8/10

OpenAI Codex is an AI coding agent that writes, edits and reviews code across a CLI, IDE extension, desktop app, web and cloud tasks, for developers and engineering teams.

Feature-by-Feature Comparison

Feature
Gemini Enterprise logo
Gemini Enterprise
OpenAI Codex logo
OpenAI Codex
Scores
Overall Rating7.1/106.8/10
Analytics6/105/10
Cost5/107/10
Customization7/107/10
Ease of Use7/107/10
Integration8/107/10
Output Quality8/108/10
Scalability9/106/10
Security9/108/10
Support6/104/10
Pricing
Free planNoYes
Cheapest paid plan$21/user/mo
Business
$8/mo
Go
Estimated cost for 10 users$210/mo
Business
Free
Free
Features
Image GenerationNot listed
AI Agents
ChatbotsNot listed
Knowledge Base SearchNot listed
Data AnalysisNot listed
Workflow AutomationNot listed
Text GenerationNot listed
Enterprise Controls
API AccessNot listed
Code GenerationNot listed

Which One Should You Choose?

Gemini Enterprise logo
Why choose Gemini Enterprise

  • Higher Scalability score (9/10 vs 6/10)
  • Higher Support score (6/10 vs 4/10)
  • Better fit for enterprise (9/10 vs 7/10)

OpenAI Codex logo
Why choose OpenAI Codex

  • Has a free plan (Gemini Enterprise does not)
  • Lower estimated cost for 10 users: Free vs $210/mo
  • Higher Cost score (7/10 vs 5/10)
  • Better fit for freelancers (7/10 vs 2/10)
  • Better fit for developers (10/10 vs 5/10)

Pros & Cons

Gemini Enterprise logo
Gemini Enterprise

Pros

  • Permission-aware search across connected company apps, with grounding in Google Search and the web
  • Strong security controls on the higher editions: CMEK, VPC Service Controls, US or EU data residency, Access Transparency and Cloud Audit Logs
  • Google states that enterprise prompts and data are not used to train its foundation models
  • Standard and Plus scale without seat caps and include an Agent Marketplace and a no-code agent builder
  • Tight fit with Google Workspace, which G2 reviewers praised

Cons

  • Business edition has only selected connectors and no agent builder or marketplace
  • Several prices, including Plus and Frontline, are not published by Google
  • Usage beyond quotas, partner models and developer tools are billed separately, so costs are hard to predict
  • Memory is per user, and Google's docs say source changes can take up to 24 hours to take effect
  • G2 has only a small number of reviews, and one reviewer said memory seemed shorter after an update

OpenAI Codex logo
OpenAI Codex

Pros

  • Comes with existing ChatGPT plans, including a free tier and an $8 Go plan, so trying it costs little or nothing.
  • Works across a CLI, IDE, desktop app, web, iOS and sandboxed cloud tasks, so developers can stay in their usual environment.
  • Business plans include SAML SSO, MFA and admin controls, and business data is not used for training by default.
  • Enterprise adds SCIM, EKM, RBAC, Compliance API audit logs and data residency for regulated organizations.
  • Credits let teams keep working after hitting included limits instead of waiting for the window to reset.

Cons

  • Usage limits are published only as wide ranges per five-hour window, which makes capacity hard to predict.
  • In 2026 users repeatedly reported quotas draining far faster than expected, which forced OpenAI to reset limits for everyone.
  • Forum users say the usage dashboard was buggy or delayed and support replies were generic.
  • Fast and Ultrafast modes use included usage 2.5 to 8 times faster.
  • Running Codex with an API key gives up the cloud features.

Not sold on either?

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