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
7.1/10
Google Cloud's workplace AI platform that combines Gemini models, permission-aware enterprise search, connectors, and no-code agents for business teams.

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 | ![]() | ![]() |
|---|---|---|
| Scores | ||
| Overall Rating | 7.1/10 | 6.8/10 |
| Analytics | 6/10 | 5/10 |
| Cost | 5/10 | 7/10 |
| Customization | 7/10 | 7/10 |
| Ease of Use | 7/10 | 7/10 |
| Integration | 8/10 | 7/10 |
| Output Quality | 8/10 | 8/10 |
| Scalability | 9/10 | 6/10 |
| Security | 9/10 | 8/10 |
| Support | 6/10 | 4/10 |
| Pricing | ||
| Free plan | No | Yes |
| Cheapest paid plan | $21/user/mo Business | $8/mo Go |
| Estimated cost for 10 users | $210/mo Business | Free Free |
| Features | ||
| Image Generation | Not listed | |
| AI Agents | ||
| Chatbots | Not listed | |
| Knowledge Base Search | Not listed | |
| Data Analysis | Not listed | |
| Workflow Automation | Not listed | |
| Text Generation | Not listed | |
| Enterprise Controls | ||
| API Access | Not listed | |
| Code Generation | Not listed | |
Which One Should You Choose?
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)
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

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

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.





