Which models does Gemini CLI run on?

It runs Google's Gemini models, with Gemini 3 support documented on the site. Model selection and automatic routing/fallback are configurable, so you can pick a cheap model for grunt work and escalate for complex reasoning. Caveat: it is explicitly not optimized for Gemini 4 Argon — that requires Antigravity.

How is this different from Gemini Code Assist in my IDE?

Same models, different surface. Gemini CLI is terminal-first and agentic: it reads files, runs shell commands, manages sessions, and automates workflows. IDE integration exists (including ACP mode), but the core value is scripting and headless automation, not inline autocomplete.

Can I use Gemini CLI in automated pipelines?

Yes — headless mode gives you a programmatic interface for scripting and CI. Combine it with hooks, custom commands, and the policy engine so the agent can't run destructive operations unattended. Model routing handles fallback when a model is unavailable.

How do I stop it from reading or modifying the wrong files?

Use .geminiignore for exclusion patterns, trusted folders for permission scoping, and Plan Mode for a read-only planning pass before any edits. Checkpointing and Rewind let you roll back a bad agent run, and sandboxing isolates tool execution.

How does context and memory work across sessions?

GEMINI.md files define project context in a hierarchy, with a memory import processor pulling from multiple sources. Auto Memory persists facts between sessions, and token caching reduces cost on repeated context. Keep these files tight — bloated context burns quota and degrades output quality.

What happens to my setup if I stay on the free tier?

You get migrated to Antigravity CLI. Gemini CLI still works if you authenticate through a paid plan, the Google Developer Program, an AI Studio API key, or Vertex AI. If your workflow depends on this CLI long-term, budget for one of those now rather than later.

Directory/Coding/AI Coding Assistants/Gemini CLI

Gemini CLI

Gemini CLI is an open-source AI agent that brings Gemini models directly into your terminal. It lets developers query and edit large codebases, generate apps from images or PDFs, automate complex workflows, and execute shell commands—all from the command line. Powered by Gemini 3, it supports MCP servers, extensions, agent skills, sandboxing, and IDE integration. Ideal for software engineers, DevOps, and power users. Note: Google has announced that Gemini CLI will be replaced by Antigravity CLI on June 18, 2026.

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Nov 4, 2026

Gemini 3Terminal agentMCP supportIDE integrationWeb searchHeadless modeSandboxingAgent Skills

Product information

Everything worth knowing about Gemini CLI

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Terminal-native coding agent

Query and edit large codebases directly from your shell. Point it at a repo, ask for changes, and it performs multi-file reads and edits without leaving the terminal.

Generate apps from images or PDFs

Feed it a screenshot, mockup, or design PDF and have it scaffold a working app. Multimodal input goes straight into code generation.

Extensions and Agent Skills

Install extensions from a browsable directory and use Agent Skills to give the CLI specialized expertise for specific tasks instead of re-prompting every session.

IDE integration

Connect the CLI to your editor via ACP mode so the agent works against the same project context you're editing in.

Technical capabilities

MCP servers and remote subagents

Attach Model Context Protocol servers for external tools and resources, and delegate work to local or remote subagents for parallel, specialized task execution.

Plan mode, sandboxing, and policy engine

Run a read-only plan mode for safe change planning, isolate tool execution in a sandbox, and enforce fine-grained execution control through the policy engine and trusted-folders logic.

Headless mode, hooks, and automation

Script the CLI programmatically via headless mode, intercept behavior with hooks, and wire in custom commands. Includes token caching, telemetry, and model routing with automatic fallback.

Must watch videos

GEMINI-CLI [PRO] Terminal AI Cocok Buat PC Low End?

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Tutorial19:21

GEMINI-CLI [PRO] Terminal AI Cocok Buat PC Low End?

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Gemini CLI: The AI agent that lives in your terminal

5:32

Tutorial5:32

Gemini CLI: The AI agent that lives in your terminal

Install Gemini CLI here. → https://goo.gle/4tk0ing Complete the free course here. → https://goo.gle/LearnGeminiCLI Unlock the full potential of your command line with Gemini CLI. In this video, we provide a comprehensive overview of what Gemini CLI is, how it works, and why it's a game changer for developers, content creators, and data analysts. Discover how this open source, conversational AI agent lives in your terminal, giving you powerful advantages over traditional web interfaces. From automating software development tasks and generating social media content to analyzing large datasets, learn how Gemini CLI can streamline your workflow and help you build faster. This video is part of a series—you can enjoy the first 3 lessons here on YouTube and continue the free course on DeepLearning.AI. ⏰ Timestamps 0:00 Introduction: What's possible with Gemini CLI 0:20 Top use cases for Gemini CLI 0:35 ↳ Software development & CI/CD 0:47 ↳ Content creation & automation 1:00 ↳ Data analysis & visualization 1:15 ↳ Your personal study buddy 1:26 What is Gemini CLI? 2:10 Under the hood: How Gemini CLI works 2:48 Key advantages of a terminal based agent 3:49 Exploring Gemini CLI's built in tools Watch more Gemini CLI Course: Code & create with an open source agent → https://goo.gle/GeminiCLI 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #GeminiCLI #OpenSource #AIAgent Speaker: Jack Wotherspoon Products Mentioned: Gemini CLI

Gemini CLI vs Claude Code vs Codex Compared! Should You Use an AI CLI?

8:34

Comparison8:34

Gemini CLI vs Claude Code vs Codex Compared! Should You Use an AI CLI?

The latest Coding CLI currently available including Gemini CLI, Claude Code and OpenAI Codex CLI. Even Qwen Coding was recently released and the code cli landscape is only growing much like the AI chat generation did. I'm going to test how they perform for coding tasks inside VS Code, Cursor and with MCP to see what you should use and why. ⛌ Wix Studio - Want to design websites with no-code / low-code (connected to MCP) https://wix.com/studio/?utm_campaign=pa_influencers_community_adrian^social&experiment_id=^youtube_channel 📘 Try my Web Design Course: https://www.enhanceui.com/ #AI #Coding #Gemini #Claude #Codex #developertools Title Ideas: Should You Use an AI CLI? Gemini CLI vs Claude Code vs Codex Compared! AI CLIs Explained – Should You Use Gemini CLI, Claude Code, or Codex? Which AI CLI Should You Use? Gemini CLI vs Claude Code vs Codex AI Coding CLIs – Are They Worth It? (Gemini vs Claude vs Codex) Gemini CLI vs Claude Code vs Codex – Which AI CLI Should You Pick? Are AI CLIs the Future of Coding? Gemini vs Claude vs Codex Should Developers Switch to AI CLIs? Gemini CLI vs Claude Code vs Codex AI CLI Tools Are Changing Coding – But Which One Should You Use? Gemini vs Claude vs Codex CLI – Is AI Coding Worth It? Should You Trust AI to Code? Gemini CLI vs Claude Code vs Codex

Who uses it

Real use cases, no hype

Large Codebase Q&A

Query and edit sprawling repos without opening an IDE.

App Generation from Assets

Turn images or PDFs into working app scaffolds.

Shell Command Automation

Let the agent run and chain system commands safely.

CI/CD & Headless Scripting

Wire the CLI into pipelines via headless mode.

MCP Tool Integration

Connect external services and data through MCP servers.

Refactoring & Migrations

Apply multi-file changes with checkpoints and rewind.

Custom Extensions

Package team workflows as reusable skills and commands.

What's great

Free tier with generous limits, just sign in with Google
Fully open source under Apache 2.0
Lives in your terminal — no IDE lock-in
Extensions and Agent Skills ecosystem built in

Technical strengths

1M+ token context window handles monorepo-scale queries
First-class MCP server support for external tools
Headless mode enables real CI/CD automation

Where it falls short

Free and Google One usage is being retired in favor of Antigravity CLI
Not optimized for the newest Gemini models
Quotas throttle long agentic runs mid-task
Free-tier prompts can be used to improve Google products

Technical limitations

Config sprawl: GEMINI.md hierarchy, settings, policy engine, hooks
Requires Node.js and a global npm install
Large repos bloat context unless you curate .geminiignore

For technical folks

The deep-dive specs

Underlying model

Gemini 3

Installation

npm install -g @google/gemini-cli

Distribution

NPM package (@google/gemini-cli)

Interface

Terminal CLI, with ACP mode for IDE integration

Authentication

Google Account, AI Studio API key, Google Cloud credentials (Vertex AI), or Google Developer Program / Code Assist credentials

Extensibility

Extensions, Agent Skills, MCP servers, hooks, custom commands

FAQ

Includes technical Q&A

The free tier historically gave you a generous quota just for signing in with a Google account. Note the caveat: the unpaid tier and Google One access were replaced by Antigravity CLI on June 18th, 2026. For continued use, plan on Google AI Pro/Ultra, a Google Developer Program seat, an AI Studio API key, or Vertex AI.

Traffic Insights

Monthly Visits

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November 2026

Growth Rate

vs last month

Dominance

in Coding

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview

Freemium Pricing

Gemini CLI Pricing

Gemini CLI uses a freemium pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on Gemini CLI

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