Complete pricing guide for Gemini CLI. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from Gemini CLI · Last verified March 2026
Install Gemini CLI globally with the command `npm install -g @google/gemini-cli`. You'll need Node.js and npm available on your system. Once installed, the `gemini` command becomes available in any terminal session. For full installation instructions and alternative methods, see the official GitHub repository at github.com/google-gemini/gemini-cli.
Yes, Gemini CLI is free to install and use, distributed as an open-source npm package under the @google scope. The Google AI Studio free tier provides access to Gemini 2.5 Pro with rate limits that Google adjusts periodically. For higher-volume usage, teams can upgrade to pay-as-you-go pricing through Google AI Studio at approximately $1.25 per million input tokens and $10.00 per million output tokens for Gemini 2.5 Pro (for prompts up to 128K tokens). Pricing is subject to change — check ai.google.dev for the latest rates.
Gemini CLI's standout capabilities are generating full applications from images or PDFs, querying and editing large codebases beyond single-file scope, and automating complex multi-step workflows from the terminal. The image-and-PDF-to-app pipeline is unusual among CLI competitors, which mostly handle text input only. It also leverages Gemini 2.5 Pro's 1-million-token context window, allowing it to load and reason about entire repositories rather than just the file you're currently editing.
Compared to Claude Code, Gemini CLI offers comparable agentic terminal capabilities but with Google's Gemini 2.5 Pro model and stronger multimodal input (PDFs, images). Compared to GitHub Copilot CLI, Gemini CLI is more agentic and project-aware, while Copilot CLI focuses narrower on shell command suggestions and explanations. Choice often comes down to which model you prefer and which cloud ecosystem you're already invested in.
Yes, because it's a standard CLI distributed via npm, Gemini CLI integrates into any CI/CD system that supports Node.js, including GitHub Actions, GitLab CI, CircleCI, and Jenkins. Teams use it for automated code review, doc generation, dependency upgrades, and test scaffolding triggered on PR events. Authentication is typically handled via API key environment variables, and Google's free tier covers light pipeline usage before billing kicks in.
The Google AI Studio free tier enforces rate limits on requests per minute and per day, which Google adjusts periodically. If you exceed these limits, requests will be rate-limited until the window resets. To remove these caps, you can enable pay-as-you-go billing through Google AI Studio (approximately $1.25/M input tokens and $10.00/M output tokens for Gemini 2.5 Pro) or connect to Vertex AI via your Google Cloud account, which provides higher quotas and enterprise-grade SLAs. Check ai.google.dev for the most current pricing and quota details.
AI builders and operators use Gemini CLI to streamline their workflow.
Try Gemini CLI Now →Aider is the open-source command-line AI coding assistant that pioneered 'edit your repo from the terminal' before the GUI agents arrived. You run `aider` inside a project directory, point it at any LLM — Claude 3.7 Sonnet, GPT-4o / o3-mini, DeepSeek R1 or Chat V3, Gemini, or a local model via Ollama or LiteLLM — and chat about what you want changed. Aider builds a treesitter-powered repo map so it only sends the relevant files to the model, applies the diff, and commits the change with a sensib
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