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OpenAI Codex vs Gemini CLI

OpenAI's coding agent with CLI, IDE, and cloud modes — the fastest-growing challenger on the leaderboard. Versus: google's open-source terminal agent — the easiest free entry point into agentic coding. Below: how they compare on the facts, and on real usage from ccusage data submitted to the leaderboard.

OpenAI CodexGemini CLI
MakerOpenAIGoogle
PricingIncluded with ChatGPT paid plans, or pay-as-you-go via the OpenAI APIGenerous free tier with a personal Google account; paid via Gemini API / Google AI plans
ModelsOpenAI GPT-5 era Codex modelsGemini models
Devs on board28399
Top spender$208,978 · 268.5B tokens$208,978 · 268.5B tokens

Where do you land?

One command reads your local OpenAI Codex and Gemini CLI logs and puts your real usage on the board — code and prompts never leave your machine.

npx viberank-cli

OpenAI Codex vs Gemini CLI FAQ

OpenAI Codex vs Gemini CLI: which do developers actually use more?

On the Viberank leaderboard, OpenAI Codex currently has more developers submitting real usage data (283 vs 99). Adoption shifts monthly — the numbers on this page update from live ccusage submissions.

Is OpenAI Codex or Gemini CLI cheaper?

OpenAI Codex: Included with ChatGPT paid plans, or pay-as-you-go via the OpenAI API. Gemini CLI: Generous free tier with a personal Google account; paid via Gemini API / Google AI plans. The real answer depends on your volume — heavy agentic use can be worth thousands per month at API-equivalent prices, which is what makes flat-rate subscriptions such an arbitrage. Run npx ccusage@latest daily to see your own numbers.

Can I use both OpenAI Codex and Gemini CLI?

Yes — many developers on the board do. ccusage reads local logs from every supported agent, and a single npx viberank-cli submission records your usage per tool, so your profile shows exactly how your spend splits between them.

How is this comparison measured?

Numbers come from developers who submit their ccusage data to Viberank — real token counts and API-equivalent costs computed from local session logs, validated server-side. It measures actual usage, not marketing claims.

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