OpenAI Codex CLI vs Gemini CLI: pricing, features and which to choose

Plans, prices, deployment options, strengths and limits for OpenAI Codex CLI vs Gemini CLI, taken from each company's pricing page, docs and changelog. Updated October 2026.

OpenAI Codex CLIGemini CLI
OpenAI Codex CLI logo

OpenAI Codex CLI

Terminal & CLI AI Tools

OpenAI Codex CLI is a terminal coding agent for developers who want repository inspection, edits, tests, and automation from a command line. The Apache 2.0 client supports ChatGPT accounts and API keys. Hosted access starts at $0 for limited Free access, while ChatGPT Plus costs $20/month. It suits developers already using OpenAI services.

Gemini CLI logo

Gemini CLI

Terminal & CLI AI Tools

Gemini CLI is Google's open source terminal agent for developers who want Gemini models, file operations, shell commands, web grounding, and MCP extensions from a command line. The client costs $0, while model access through paid API and Vertex AI routes is usage based. Consumer Google account access moved to Antigravity CLI on June 18, 2026.

Quick comparison

FeatureOpenAI Codex CLIGemini CLI
CategoryTerminal & CLI AI ToolsTerminal & CLI AI Tools
Main useTerminal codingTerminal coding agent
Pricing modelFree plan + paid tiersPay per use
Free plan Yes Yes
Entry paid plan$20/month (ChatGPT Plus)$0 (Gemini CLI software)
PlatformsmacOS, Linux, WinCLI
Open source Yes Yes
Self-hosted No No
Public API Yes Yes
Profile updatedOctober 2026October 2026

Pricing plans

Every public plan, as listed on each company's pricing page.

OpenAI Codex CLI

  • Free$0/month

    Limited Codex access for a limited time, with limited messages and uploads.

  • ChatGPT GoAccount-specific

    Codex access is included for a limited time with more usage than Free; OpenAI does not state a fixed price on the cited Codex pricing page.

  • ChatGPT Plus$20/month

    CLI, IDE extension, web, and iOS access. GPT-5.4 supports 33 to 168 local messages per five hours, depending on model and task.

  • ChatGPT Pro$200/month

    Priority processing, GPT-5.3-Codex-Spark research preview, and about six times Plus local and cloud usage.

  • ChatGPT Business$30/user/month

    Shared workspace, larger cloud-task virtual machines, admin controls, and flexible credits. Usage varies by model and task.

  • Enterprise and EduCustom

    Enterprise and Edu access uses flexible pricing or seat limits; usage scales with credits where flexible pricing applies.

  • API keyUsage-based

    GPT-5.3-Codex costs $1.75 input, $0.175 cached input, and $14 output per million tokens at standard rates.

Gemini CLI

  • Gemini CLI software$0

    The client is Apache License 2.0 software. Model responses require a supported Google account, API key, or Vertex AI authentication route.

  • Gemini API free tier$0

    Up to 250 model requests per user per day, limited to Flash models, subject to Google's rate limits.

  • Gemini API paid tierCustom

    Usage is billed by model and token volume, including input, output, cached tokens, and applicable tools. Google publishes rates per 1 million tokens.

  • Vertex AI Express Mode$0

    Free access has account specific quotas and lasts up to 90 days before billing is required.

  • Vertex AI paid tierCustom

    Usage is billed through Google Cloud by model and token volume. Quotas use dynamic shared quota or provisioned throughput.

  • Gemini Code Assist StandardCustom

    The license includes up to 1,500 model requests per user per day, shared with Gemini Code Assist agent mode. Google Cloud sets subscription terms.

  • Gemini Code Assist EnterpriseCustom

    The license includes up to 2,000 model requests per user per day, shared with Gemini Code Assist agent mode. Google Cloud sets subscription terms.

  • Workspace AI UltraCustom

    Supported Workspace AI Ultra access includes up to 2,000 model requests per user per day, shared with Gemini Code Assist agent mode.

Strengths and limits

OpenAI Codex CLI

  • The client is Apache 2.0 licensed and openly developed.
  • Sandbox and approval modes limit file and command access.
  • ChatGPT plans and API keys support different workflows.
  • Interactive and automation-oriented command modes are documented.
  • Usage depends on model, task complexity, and shared limits.
  • API authentication excludes Codex cloud features.
  • Risky repository changes still require human review.

Gemini CLI

  • Built in shell, file, web, and Search tools support multi step work.
  • MCP and extensions connect the CLI to local tools and Google Cloud services.
  • The client is open source under Apache License 2.0.
  • Headless mode and JSON output fit scripts and CI workflows.
  • Consumer Google account access ended on June 18, 2026.
  • API and Vertex usage require credential, quota, and billing decisions.
  • The repository says Gemini CLI is not optimized for Gemini 4 Argon.

Which should you choose?

Choose OpenAI Codex CLI if

  • Developers who work mainly from a terminal.
  • Teams that need approval and sandbox controls.
  • CI jobs using JSON output and API authentication.
  • Developers who want an Apache 2.0 client.

Look elsewhere if

  • Users seeking a no-account local model by default.
  • Teams requiring a separate CLI subscription price.
  • People wanting unrestricted command execution.

Choose Gemini CLI if

  • Developers who prefer a terminal agent over an IDE assistant.
  • Teams using Google Cloud, Vertex AI, or Gemini Code Assist.
  • Automation workflows requiring MCP, shell tools, and JSON output.
  • Users who want an Apache 2.0 client they can inspect.

Look elsewhere if

  • New personal users seeking Google's former free CLI route.
  • Teams requiring a fixed Gemini CLI subscription price.
  • Users unwilling to review shell commands and file edits.

OpenAI Codex CLI logo OpenAI Codex CLI in brief

OpenAI Codex CLI is a terminal coding agent maintained by OpenAI. The current project launched in 2025, and its client is licensed under Apache 2.0. It runs on macOS, Linux, and Windows, with authentication through ChatGPT, an API key, or an access token. Codex is also available through OpenAI’s web, IDE, desktop, and mobile experiences, but the CLI is the direct option for developers who prefer a shell. OpenAI does not publish a separate Codex CLI user count, revenue figure, or valuation. The project is active, with installation and release paths documented through npm, Homebrew, OpenAI documentation, and GitHub. The software is open source, while hosted models and account services remain proprietary. It is designed for developers seeking repository work and automation from a command line.

A normal Codex CLI session begins in a project directory with a request such as fixing a failing test or adding a feature. Codex inspects relevant files, proposes or applies changes, runs commands, and reports results. Workspace-write sandboxing, approval prompts, additional directories, JSON output, and unattended execution options provide different levels of control. The reference also documents image attachments, web search, slash commands, usage views, and multi-agent tools. Developers can use interactive sessions for exploration or non-interactive execution in scripts and CI. The app server and plugin paths extend the client to other interfaces. Command approvals remain important because repository edits, package operations, and tests can have side effects. These controls support both hands-on development and automation-oriented workflows.

Codex CLI suits developers who want terminal control, Apache 2.0 client code, and explicit boundaries around commands and files. It is less suitable for teams seeking a standalone CLI subscription, a fully local default model, or unrestricted unattended execution. Claude Code is the closest account-based alternative, while Gemini CLI provides a Google-centered terminal agent. Aider emphasizes a lightweight terminal workflow across model providers, and Cline offers an editor-centered approach. Codex’s API path also lacks cloud features such as GitHub code review and Slack integration. Choose Codex CLI when OpenAI models, ChatGPT billing, or an open client matter most, and retain approval prompts for unfamiliar repositories. Its audience is mainly terminal-focused developers, teams using sandbox controls, CI operators, and developers wanting an Apache 2.0 client.

Read the full OpenAI Codex CLI review

Gemini CLI logo Gemini CLI in brief

Gemini CLI is Google's open source terminal agent for developers, students, researchers, and technical users who prefer a shell over a browser or IDE. Google launched it on June 25, 2025, connecting the client to Gemini Code Assist technology. The Apache License 2.0 covers the client, which supports coding, content generation, problem solving, research, and task management. A session begins with the gemini command and a prompt that can reference files in the working directory. The agent can read and edit files, run shell commands, fetch web content, and use Google Search grounding. Its repository reported more than 107,000 stars, 14,000 forks, and hundreds of contributors in October 2026. Google also reported millions of users in its May 2026 transition announcement.

Gemini CLI supports persistent project instructions through GEMINI.md files, while checkpointing and chat history help users resume work. Model Context Protocol support connects local or remote tools, and extensions add services including databases, BigQuery, Cloud Run, and security analysis. Headless mode accepts positional prompts and returns text, JSON, or streaming JSON for scripts and automation. Approval controls allow users to review commands and edits before execution. Gemini CLI launched with Gemini 2.5 Pro and a 1 million token context window. Google later added Gemini 2.5 Flash Lite, prompt completion, structured JSON output, improved editing, citations, database extensions, and broader MCP handling. In February 2026, Google announced Gemini 3.1 Pro preview support. The repository advertises Gemini 3 models and weekly stable and preview channels.

Claude Code is a direct alternative for developers committed to Anthropic models and its paid workflow. OpenAI Codex CLI fits teams already using Codex models or ChatGPT. Gemini CLI differs through Gemini models, Google Search grounding, MCP support, and Google Cloud integrations. It has no standalone subscription, although paid API and cloud routes require separate credential, quota, and billing administration. The client is Apache License 2.0 software, but that license does not cover Google's models or services. Choose Gemini CLI if you need Google's terminal tools, Search grounding, MCP, or Cloud integrations through an enterprise or paid API route. Choose Claude Code for Anthropic's workflow, or OpenAI Codex CLI for Codex and ChatGPT users. Gemini CLI is best for Google focused teams that want an inspectable terminal client.

Read the full Gemini CLI review

Frequently asked questions

How do OpenAI Codex CLI vs Gemini CLI compare on price?

OpenAI Codex CLI has a free option, and its first paid plan (ChatGPT Plus) is listed at $20/month. Gemini CLI has a free option, and its first paid plan (Gemini CLI software) is listed at $0. Prices are from each company's pricing page and can change, so check before you buy.

Which has a free plan, OpenAI Codex CLI vs Gemini CLI?

All of them. OpenAI Codex CLI: Limited Codex access for a limited time, with limited messages and uploads. Gemini CLI: The client is Apache License 2.0 software. Model responses require a supported Google account, API key, or Vertex AI authentication route.

Can I self-host or integrate OpenAI Codex CLI vs Gemini CLI?

OpenAI Codex CLI and Gemini CLI are open source. All of them run as hosted services only. OpenAI Codex CLI and Gemini CLI offer a public API.

How much does Codex CLI cost?

The client is free to install. Hosted use is included in eligible ChatGPT plans, including Plus at $20/month, or it can use an API key with token billing. OpenAI also lists limited Free and Go access for a limited time. Plan allowances depend on model, task size, complexity, and local or cloud execution.

Is Codex CLI free?

The software is open source under Apache 2.0, but model service usage is separate. Free access is currently limited and temporary, according to OpenAI's pricing page. Paid ChatGPT plans include different allowances, while API-key use is billed by tokens. API access provides CLI, SDK, or IDE use without Codex cloud features such as GitHub review.

How much does Gemini CLI cost?

Gemini CLI has no separate subscription price. The client is free, while model access depends on authentication. Paid Gemini API and Vertex AI routes bill token and tool usage. Gemini Code Assist licenses use Google Cloud subscription terms. Google stopped serving individual, Google AI Pro, and Google AI Ultra accounts through Gemini CLI on June 18, 2026, so those users must use a supported enterprise or API route.

Is Gemini CLI free?

The client is free and licensed under Apache License 2.0. Free model access depends on the route. The Gemini API free tier allows up to 250 daily requests and Flash models only. Vertex AI Express Mode has account specific quotas for up to 90 days. The former personal Google account route offered 1,000 daily requests, but it ended on June 18, 2026.

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