Codex vs Gemini CLI: 2026 comparison

Codex and Gemini CLI in brief

Codex and Gemini CLI let you delegate programming work involving project files and command execution. Both are open source, self-hostable projects with an Apache-2.0 license and human validation. Codex lists several interfaces and support for GPT and local models. Gemini CLI describes command line use with Gemini. Their community and activity figures also differ, but those figures are not performance benchmarks. The more practical distinction is how each agent fits your model preferences and development environment.

Codex : A coding agent that works with project files and runs terminal commands to implement changes and verify software.

Gemini CLI : A terminal agent using Gemini and tools to explore projects, edit source files, and execute development commands.

They are often weighed against each other by people who hesitate. This page lines up their features point by point (11 criteria), with no partnership with either publisher.

Comparison table

Criterion by criterion

For each criterion: why it matters, each one's value and who has the edge. A criterion without data on both sides is not decided.

Popularity (GitHub stars)

Stars measure developer interest; a widely followed project has more tutorials, integrations and answers. Codex : 130.8K. Gemini CLI : 107.8K. Edge: Codex.

Activity over a year

Commits over 52 weeks show whether the project moves fast, fixes bugs and keeps up with new models. Codex : 11,205 commits. Gemini CLI : 3,489 commits. Edge: Codex.

Releases (6 months)

Regular releases signal a project that ships; very frequent releases can also mean frequent updates on your side. Codex : 4. Gemini CLI : 3. Edge: Codex.

Last commit

A repository with no commit for months may fall behind new APIs and security fixes. Codex : October 23, 2026. Gemini CLI : October 23, 2026. A tie on this point.

License

A clear open-source license (MIT, Apache…) allows commercial use and modification; without one, usage rights are unclear. Codex : Apache-2.0. Gemini CLI : Apache-2.0. A tie on this point.

Self-hosting

Running the agent on your machine or server keeps your files and keys with you. Codex : yes. Gemini CLI : yes. A tie on this point.

Supported models

An agent that accepts several model families lets you pick the best value, or a local model. Codex : 2. Gemini CLI : 1. Edge: Codex.

Interfaces

Terminal, code editor, web app or chat: more interfaces mean more ways to fit it into your work. Codex : 3. Gemini CLI : 1. Edge: Codex.

Risk level

Our risk level considers the access granted (terminal, files, network) and default human approval. Codex : moderate. Gemini CLI : moderate. A tie on this point.

Community (forks)

Forks count developers who copied the project to adapt it: a sign of a living ecosystem. Codex : 20.6K. Gemini CLI : 14.8K. Edge: Codex.

Track record

An older project has had time to fix early flaws; a recent one often brings the latest ideas. Codex : April 2025. Gemini CLI : April 2025. Edge: Codex.

In charts

Our analysis

Codex, published by OpenAI and created on April 13, 2025, is described as a programming agent that works on project files and executes commands from the terminal. Google’s Gemini CLI, created on April 17, 2025, explores projects, edits code and runs commands. Their core purposes are therefore closely aligned. Codex lists CLI, IDE and SDK interfaces, whereas Gemini CLI lists only a CLI. Their implementation languages are Rust and TypeScript respectively. These differences may matter for integration or contributing to the projects, but they do not establish comparative execution speed, coding accuracy or reliability when changing a repository.

Codex records 130788 stars and 20631 forks, compared with 107807 stars and 14791 forks for Gemini CLI. Over twelve months, the supplied records list 11205 commits for Codex and 3489 for Gemini CLI. Over six months, they list four and three releases respectively. Both latest commits are dated October 23, 2026. These numbers describe repository attention and recorded development activity rather than success on programming tasks. The scores of 89 and 88 out of 100 concern popularity, activity and framework considerations; their closeness does not establish technical equivalence. Neither agent has pricing information supplied in these records.

Both projects identify an Apache-2.0 license and support self-hosting, providing a documented licensing framework in each case. Codex lists GPT and local models, while Gemini CLI lists Gemini models. The local model option in Codex is relevant to investigate if the location of model execution matters for your work. It does not establish that every configuration operates without network access or keeps all information on your machine. The records do not explain data flows or retention. Consequently, self-hosting and the availability of local models should be considered specific deployment characteristics rather than complete evidence of privacy across every supported setup.

Codex and Gemini CLI list the same access categories: shell, files and network, with human validation. Both have an intermediate risk classification linked to sensitive access subject to validation and to network access. Their everyday use therefore calls for understanding which actions you approve within a project. Codex offers several integration points through its CLI, IDE and SDK interfaces. Gemini CLI documents a terminal-centered interface. The supplied information does not compare permission controls, isolation mechanisms or recovery after an unwanted change. It also contains no task results establishing how reliably either agent would modify the particular repositories you work on.

Depending on your situation

The right choice depends on use. For a few common situations, here are the criteria that matter and who wins (Codex value / Gemini CLI value).

Trying it out quickly

Here, Codex has the edge: it wins 3 of the 3 criteria that matter in this situation, namely interfaces (3 / 1), supported models (2 / 1), and popularity (github stars) (130.8K / 107.8K).

Production use

Here, Codex has the edge: it wins 2 of the 4 criteria that matter in this situation, namely activity over a year (11,205 commits / 3,489 commits), last commit (October 23, 2026 / October 23, 2026), license (Apache-2.0 / Apache-2.0), and releases (6 months) (4 / 3).

Security and control

Neither stands out on the criteria for this situation (risk level (moderate / moderate) and self-hosting (yes / yes)): decide with a trial.

Which one to choose?

Choose Codex if…

• you value popularity (github stars) (130.8K)
• you value activity over a year (11,205 commits)
• you value releases (6 months) (4)
• you value supported models (2)
• you value interfaces (3)

Codex is a logical choice if you need terminal, IDE and SDK interfaces, or want to investigate local models alongside GPT. Its Rust implementation may also matter if you plan to contribute to the project. It has higher community and activity counts in these records, although those indicators do not prove better coding quality or task completion.

Choose Gemini CLI if…

Gemini CLI does not lead on any measurable criterion; it is still relevant if you already use it or prefer it after a trial.

Gemini CLI fits a terminal-based workflow with Gemini models and an identified Apache-2.0 licensing framework. It covers the central actions described in this comparison: exploring a project, editing code and executing commands. It remains a reasonable option when the additional interfaces and local model support listed for Codex do not address a requirement you actually have.

Strengths and limits of each

Codex

• + Widely followed: 130.8K stars
• + Very active development
• + Can run on your side: data under control
• − 24,423 open issues

Gemini CLI

• + Widely followed: 107.8K stars
• + Very active development
• + Can run on your side: data under control
• − Tied to a single model provider (Gemini (Google))

The best test is still yours: take three real tasks from your day and give them to both for a week. Our “Which AI agent?” quiz can also guide you.

What about the others?

If neither suits you, look at OpenCode, Cline, OpenHands, Open Interpreter, Qwen Code, and Kilo Code.

Related comparisons:

• Claude Code vs Codex
• Claude Code vs Gemini CLI
• OpenCode vs Codex
• OpenCode vs Gemini CLI
• Cursor vs Codex
• Codex vs Amazon Q Developer

Conclusion

Both agents share a documented license and comparable access categories. Codex distinguishes itself through additional interfaces and listed local model support. Gemini CLI offers a documented terminal workflow with Gemini. Your preferred models and integration needs are the most useful decision criteria. Differences in stars, commit counts or composite scores cannot predict which agent will make more reliable changes or complete tasks more successfully in your project.