Codex vs Gemini CLI
Side-by-side comparison of two AI agent tools
Short answer
- Codex is growing faster: +9,462 GitHub stars in the last 30 days vs +1,259 for Gemini CLI.
- Pick Codex for: lightweight coding agent that runs in your terminal. Pick Gemini CLI for: an open-source AI agent that brings the power of Gemini directly into your terminal.
From GitHub data refreshed daily.
Codexopen-source
Lightweight coding agent that runs in your terminal
Gemini CLIopen-source
An open-source AI agent that brings the power of Gemini directly into your terminal.
Metrics
| Codex | Gemini CLI | |
|---|---|---|
| Stars | 127.6k | 107.2k |
| Star velocity /mo | 9.5k | 1.3k |
| Commits (90d) | 3.8k | 177 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9448060606075892 | 0.8210543394212753 |
Pros
- +Runs locally on your machine, providing better privacy and control over your code
- +Seamless integration with existing ChatGPT subscriptions without requiring separate API setup
- +Multiple deployment options including CLI, IDE extensions, desktop app, and web access
- +免费层慷慨配额，每分钟60次请求满足日常开发需求
- +内置丰富工具集成，包括Google搜索、文件操作和Shell命令
- +支持MCP协议的强大扩展性，可集成自定义工具和服务
Cons
- -Requires ChatGPT Plus/Pro subscription or separate API key setup for full functionality
- -Limited documentation suggests the tool may still be in early development stages
- -依赖Google账户认证，可能存在地域访问限制
- -作为终端工具，缺乏图形界面可能不适合所有用户场景
- -免费层存在请求限制，高频使用可能需要付费升级
Use Cases
- •Terminal-based coding assistance for developers who prefer command-line workflows
- •Local AI code generation and debugging while maintaining code privacy
- •Integrated development workflow across multiple environments (terminal, IDE, desktop)
- •自动化代码审查和重构，利用AI分析代码库并提供改进建议
- •智能运维和故障排查，通过AI分析日志文件和系统状态
- •快速原型开发和技术调研，在终端中直接查询和生成代码片段
FAQ
- Which is more popular, Codex or Gemini CLI?
- Codex has more GitHub stars (127,598 vs 107,218).
- Which is more actively developed, Codex or Gemini CLI?
- Codex had more commits in the last 90 days (3,826 vs 177).
- Should I use Codex or Gemini CLI?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.