Gemini CLI VS OpenAI Codex CLI

Compare Gemini CLI VS OpenAI Codex CLI and see what are their differences

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Gemini CLI

Free and open source, Gemini CLI brings Gemini directly into developers’ terminals — with unmatched access for individuals.

OpenAI Codex CLI

Frontier reasoning in the terminal

Not present

Gemini CLI

Website: github.com
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OpenAI Codex CLI

Website: github.com
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Gemini CLI features and specs

Open Source
Gemini CLI is available as an open-source project, which allows for community contributions, transparency, and encourages wide adoption.
Integration with Google APIs
The tool is designed to work seamlessly with Google APIs, making it easier for developers to integrate various Google services into their workflow.
Command Line Interface
Provides a powerful and flexible command line interface that allows advanced users to automate tasks and integrate the tool into scripts and larger workflows.
Cross-Platform Support
Gemini CLI supports multiple operating systems, making it accessible to users regardless of their preferred platform.

Possible disadvantages of Gemini CLI

Learning Curve
Users may face a steep learning curve if they are not familiar with command line tools or the specific Google APIs that Gemini CLI interacts with.
Limited Documentation
The tool's documentation may be limited, making it challenging for new users to fully understand and utilize all its features without external help.
Dependency on Google Services
Since Gemini CLI is designed to work with Google APIs, users are heavily dependent on Google's services and ecosystem, which may not be ideal for everyone.
Potential for Rapid Changes
As an open-source project backed by Google, there might be frequent updates and changes which can disrupt users' existing workflows if not managed properly.

OpenAI Codex CLI features and specs

Efficiency
Codex CLI allows developers to generate code snippets quickly, improving productivity and reducing the time spent on manual coding tasks.
Ease of Use
With natural language processing capabilities, Codex CLI allows users to interact with the tool using simple commands, making it accessible even for those with limited programming knowledge.
Integration
Codex CLI can be integrated into various development environments, allowing seamless transition between AI-assisted coding and traditional coding workflows.
Iterative Feedback
The CLI provides immediate feedback on code input, which helps developers quickly understand and iterate on their implementations.
Versatility
Codex CLI supports a wide range of programming languages and paradigms, making it useful in diverse coding scenarios.

Possible disadvantages of OpenAI Codex CLI

Accuracy Limitations
The generated code may not always be perfectly accurate or optimized, requiring manual review and adjustments by experienced developers.
Dependency on Internet
Since Codex CLI relies on online resources to function, its usability can be affected by internet connectivity issues.
Learning Curve
While designed for simplicity, there is still a learning curve associated with understanding the limitations and best use cases for Codex CLI.
Ethical Concerns
Relying on AI for code generation could raise concerns about the originality of code, intellectual property rights, and potential biases in the training data.
Cost
Depending on OpenAI's pricing model, using Codex CLI might involve costs that can accumulate, especially for large-scale or long-term projects.

Gemini CLI videos

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OpenCode: FASTEST AI Coder + Opensource! BYE Gemini CLI & ClaudeCode!

OpenAI Codex CLI videos

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OpenAI Codex CLI

Category Popularity

0-100% (relative to Gemini CLI and OpenAI Codex CLI)

OpenAI Codex CLI

58 58%

42% 42

Developer Tools

54 54%

Developer Tools

46% 46

Coding

100 100%

Coding

0% 0

Text Editors

0 0%

Text Editors

100% 100

User comments

Share your experience with using Gemini CLI and OpenAI Codex CLI. For example, how are they different and which one is better?

Social recommendations and mentions

Gemini CLI might be a bit more popular than OpenAI Codex CLI. We know about 16 links to it since March 2021 and only 15 links to OpenAI Codex CLI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Gemini CLI mentions (16)

Jules, remote coding agent from Google Labs, announces API
Https://github.com/google-gemini/gemini-cli It was pretty rough at launch but has gotten a lot better. So has Claude code though, so I’ve never really switched over. - Source: Hacker News / about 16 hours ago
Beyond the terminal: Gemini CLI comes to Zed
We're always looking to integrate with tools developers love, and Zed is a natural fit. Because Zed's high-performance, open source code editor is already a popular choice within the Gemini CLI team, we reached out to the creators to explore a deeper collaboration. Starting today, Gemini CLI is integrated with Zed, bringing Gemini's models directly into Zed’s Rust-based environment. Developers can now tap into an... - Source: dev.to / about 1 month ago
Stop writing CLI validation. Parse it right the first time
Node.js installation, and Gemini README reads as if npm is a tool that everybody knows and has already installed. https://www.anthropic.com/claude-code https://github.com/google-gemini/gemini-cli. - Source: Hacker News / 28 days ago
Before Kamal: How to Set Up a VM, Domain, and Dockerfile the Easy Way
First, go to https://github.com/google-gemini/gemini-cli and follow the instructions to install Gemini CLI on your machine. Then open your project with your editor. If you happen to use VSCode, you can also install the Gemini CLI Companion extension, which can let Gemini CLI know which files are opened in VSCode. - Source: dev.to / 28 days ago
Maximizing AI Efficiency: Building Hybrid Workflows with Qwen Code and Gemini CLI
Gemini CLI: Google’s CLI with custom slash commands, shell execution, lightning-fast Gemini models, and 1M token context windows. - Source: dev.to / about 1 month ago

OpenAI Codex CLI mentions (15)

Building a Rust API with Claude Sonnet 4.5
Sonnet has proven itself to be very powerful and capable of handling complex tasks, but lately the community were claiming that Claude is slowly getting worse and it's not as good as it first was. This is especially after OpenAI released their leading coding model Codex model for their open source Codex CLI. - Source: dev.to / 3 days ago
No “resume” in Codex CLI, so I built one: quickly “continue” with `codex-history-list`
Codex CLI is an AI coding agent that runs in your terminal, but there’s still no official “resume” feature. - Source: dev.to / about 1 month ago
Codex CLI: Running GPT-OSS and Local Coding Models with Ollama, LM Studio, and MLX
This file allows you to configure providers and create profiles for different models. Some options aren’t fully documented yet, but you can explore the Codex source code for details. You can also configure MCP servers here. - Source: dev.to / about 1 month ago
GPT-5 for Developers
You are looking for Codex CLI [0]. 0 - https://github.com/openai/codex. - Source: Hacker News / about 2 months ago
OpenAI Open Models
Inference in Python uses harmony [1] (for request and response format) which is written in Rust with Python bindings. Another OpenAI's Rust libraries is tiktoken [2], used for all tokenization and detokenization. OpenAI Codex [3] is also written in Rust. It looks like OpenAI is increasingly adopting Rust (at least for inference). [1] https://github.com/openai/harmony [2] https://github.com/openai/tiktoken [3]... - Source: Hacker News / about 2 months ago