Gemini CLI is an AI-powered command-line tool for building, debugging, and deploying software. It brings Gemini assistance into developer terminal workflows.
Gemini CLI is a free, open-source developer tools command-line interface that brings Google's Gemini 2.5 Pro model directly into the terminal for code generation, debugging, and workflow automation, with pricing starting at free. It targets professional software developers, DevOps engineers, and technical teams who prefer terminal-native workflows over IDE-bound AI assistants.
Installed with a single npm command (npm install -g @google/gemini-cli), the tool lets developers query and edit large codebases conversationally, generate full applications from images or PDFs, and automate multi-step development tasks without leaving the shell. It leverages Gemini 2.5 Pro's 1-million-token context window to reason across entire repositories rather than single files, which is particularly useful for refactoring, dependency analysis, and onboarding to unfamiliar codebases. Because it runs locally as a CLI, it integrates naturally into existing scripts, CI/CD pipelines, git hooks, and tmux-based development environments.
The official source repository and documentation live at github.com/google-gemini/gemini-cli, where the project is developed openly under Google's @google npm scope.
Based on our analysis of 870+ AI tools, Gemini CLI sits in a competitive category alongside Claude Code, GitHub Copilot CLI, Aider, and Cursor's terminal mode. Compared to the other developer-focused CLI tools in our directory, Gemini CLI's primary differentiators are direct access to Google's Gemini 2.5 Pro model, multimodal input handling (PDFs and images), and the no-cost installation path backed by Google's free tier. Compared to GUI-first tools like Cursor or Windsurf, it trades visual diff review and inline suggestions for scriptability and composability — the classic Unix philosophy applied to AI coding assistance. Teams already using Google Cloud, Vertex AI, or Workspace will find the authentication and billing model familiar, while developers who live in vim, Emacs, or terminal multiplexers gain an AI assistant that respects their existing workflow rather than forcing an editor switch.
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Gemini CLI uses Gemini 2.5 Pro's 1-million-token context window to load and reason over entire repositories rather than single files. Developers can ask architectural questions, request multi-file refactors, or trace data flow across modules using plain-language prompts in the terminal.
The CLI accepts visual inputs — UI screenshots, design mockups, or PDF specifications — and generates corresponding app scaffolding. This multimodal capability lets developers turn a Figma export or product spec into runnable starter code without manually translating designs into HTML, components, or routes.
Because Gemini CLI is a standard command-line program, it composes naturally with shell scripts, makefiles, and CI pipelines. Teams chain it with git, grep, and other Unix tools to automate code review, changelog generation, dependency upgrades, and other repetitive engineering tasks.
Installation is a single command: `npm install -g @google/gemini-cli`. This removes the friction of separate downloads, IDE plugin marketplaces, or platform-specific installers, and makes it trivial to add the tool to a Dockerfile or CI runner.
The CLI is powered by Google's Gemini 2.5 Pro, the same flagship model available through Google AI Studio and Vertex AI. Developers benefit from a 1-million-token context window, strong code generation across major languages, and Google's ongoing model improvements without needing to manage model selection manually.
$0
~$1.25 per 1M input tokens / ~$10.00 per 1M output tokens
~$1.25 per 1M input tokens / ~$10.00 per 1M output tokens
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Gemini CLI now defaults to Gemini 2.5 Pro as the underlying model, delivering a 1-million-token context window for whole-repository reasoning. The current install path remains npm install -g @google/gemini-cli, with multimodal codebase, image, and PDF input flows promoted as core capabilities. Google has expanded the free-tier quotas and added Vertex AI integration for enterprise deployments. The project is developed openly on GitHub at github.com/google-gemini/gemini-cli.
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