Claude Code vs Gemini CLI (2026): Features and Limits

Claude Code and Gemini CLI are both AI agents that live in your terminal: they read your repository, run commands, edit files and work through multi-step tasks. They differ on price model, licence, maturity of advanced features and which models they run. This comparison uses each tool’s official documentation as of October 24, 2026.

We deliberately leave out benchmark scores. Both vendors ship new models often, and the only test that matters is your own codebase; there’s a checklist for that at the end. Claudekit.ai is independent and not affiliated with Anthropic or Google.

Quick verdict

• Pick Claude Code if you want the most mature agent workflow: stable subagents, plugins and marketplaces, lifecycle hooks, permission modes, and Claude models, and you already pay for a Claude plan.
• Pick Gemini CLI if you want an open-source agent you can inspect and fork, a free daily quota to start with, or you already pay for Google AI Pro or Ultra.
• Run both if you can. They don’t conflict, MCP servers work in both, and a second agent is a useful reviewer.

At a glance

	Claude Code	Gemini CLI
Maker	Anthropic	Google
Licence	Proprietary (Anthropic Commercial Terms)	Open source, Apache 2.0
Models	Claude (Opus, Sonnet, Haiku, Fable)	Gemini model family
Free usage	None; needs Pro or higher, Console, or a cloud provider	Up to 1,000 requests/day with a personal Google account
Paid options	Pro $20, Max $100/$200, Team, Enterprise, or per-token API	Google AI Pro, Ultra, Code Assist Standard/Enterprise, or API key
Install	Native installer, Homebrew, WinGet, apt/dnf/apk, npm	npm, Homebrew, MacPorts, npx
Runtime dependency	None with the native installer	Node.js 20+
Context file	CLAUDE.md	GEMINI.md
Extensions	Skills, subagents, hooks, plugins, MCP	Extensions, Agent Skills, hooks, custom commands, MCP
Subagents	Stable	Experimental
Plan mode	Stable	Experimental
Undo	Checkpoints and /rewind	Checkpointing and rewind
Headless / CI	claude -p, GitHub Actions	Headless mode, run-gemini-cli GitHub Action
Surfaces	Terminal, VS Code, JetBrains, desktop app, web, Slack	Terminal, IDE integration, Cloud Shell

Pricing and quotas

Claude Code has no free tier. As of October 24, 2026, the cheapest way in is Claude Pro at $20 a month ($17 billed annually), with Max at $100 or $200 for 5x or 20x Pro’s per-session usage. Usage is shared with Claude chat and resets on a five-hour session window plus a weekly limit. You can also sign in with a Console account and pay per token. Full details: Claude Code pricing.

Gemini CLI quotas, as listed on its official quota and pricing page on October 24, 2026:

Sign-in method	Daily model requests per user
Personal Google account	1,000, across the Gemini model family
Gemini API key, free tier	250, Flash model only
Google AI Pro	1,500
Google AI Ultra	2,000
Code Assist Standard	1,500
Code Assist Enterprise	2,000

Google AI Pro costs $19.99 a month and Ultra starts at $99.99. On a paid Gemini API key you pay per token instead.

The practical difference: you can evaluate Gemini CLI seriously for free, while Claude Code needs at least a Pro subscription. Our Claude Pro vs Max comparison helps you size that plan.

Installation

Claude Code:

# macOS, Linux, WSL
curl -fsSL https://claude.ai/install.sh | bash

# Windows PowerShell
irm https://claude.ai/install.ps1 | iex

The native installer needs no Node.js and auto-updates. Our Claude Code install guide covers Windows, WSL, updates and uninstalling.

Gemini CLI:

npm install -g @google/gemini-cli
# or
brew install gemini-cli

Gemini CLI needs Node.js 20 or later and ships stable, preview and nightly channels. Its docs list macOS 15+, Windows 11 24H2+ and Ubuntu 20.04+; Claude Code supports macOS 13+, Windows 10 1809+ and several Linux distributions, including Alpine.

Project context

Both agents read a Markdown file at session start:

• Claude Code reads CLAUDE.md (project, user and local variants, plus .claude/rules/). Run /init to generate one. See our CLAUDE.md guide.
• Gemini CLI reads GEMINI.md with its own hierarchy of context files.

If you use both tools on one repo, keep the real conventions in one shared file and point each tool’s context file at it, so the two never drift apart.

Extensibility

This is Claude Code’s strongest area today.

Claude Code has five stable, documented extension types that compose well:

• Skills: folders with a SKILL.md that load on demand or run as /skill-name;
• Subagents: specialised agents with their own context, tools and model;
• Hooks: scripts on lifecycle events that can block or modify actions;
• Plugins and marketplaces to share all of the above;
• MCP servers for external tools.

Gemini CLI documents extensions, Agent Skills, hooks, custom commands, a policy engine and MCP servers. Its docs mark subagents, remote subagents, plan mode, Git worktrees and auto memory as experimental as of October 24, 2026. The core is solid; the advanced orchestration features are younger.

Both support MCP, so the best MCP servers on our list generally work in either.

Safety and permissions

Claude Code uses permission modes. From v2.1.283 on, auto mode is the built-in starting mode for interactive terminal and VS Code sessions: a separate classifier reviews most actions and blocks risky ones. You can switch to Manual (ask before edits and commands), accept-edits or plan mode, and add allow/deny rules with /permissions. OS-level sandboxing is available on macOS, Linux and WSL 2. Details: permission modes guide.

Gemini CLI offers sandboxing to isolate tool execution, a policy engine for fine-grained execution control, and trusted folders.

Whichever you use, never run an agent with all checks disabled outside a disposable environment.

Automation and CI

Both tools run non-interactively:

# Claude Code
claude -p "summarise the failing tests in this log" --output-format json

Gemini CLI has a documented headless mode with JSON output and an official google-github-actions/run-gemini-cli GitHub Action. Claude Code has claude -p, GitHub Actions and SDK access; our headless mode guide covers flags and CI patterns.

For CI, mind the billing: Claude Code in CI usually runs on a Console API key billed per token, while Gemini CLI in CI can run on an API key or Code Assist licence.

Models and day-to-day feel

Claude Code runs Claude models only. Switch with /model and tune reasoning with /effort; Anthropic’s cost guidance suggests Sonnet for most coding and Opus for complex architecture work. Gemini CLI runs the Gemini model family, and its docs describe automatic model routing and fallback plus manual model selection.

Model quality changes with every release, so we won’t declare a winner on raw intelligence. What stays constant is workflow: Claude Code’s strengths are its permission modes, checkpoints, mature subagents and the ecosystem of plugins and skills around it; Gemini CLI’s strengths are its open codebase, free quota and close fit with Google Cloud.

One practical difference for teams: Claude Code’s configuration (CLAUDE.md, .claude/skills, .claude/agents, .claude/settings.json, .mcp.json) is designed to be committed and shared, and plugin marketplaces distribute it across repositories. Our plugin marketplace guide shows how. Gemini CLI shares setup through extensions and its own settings files.

Which should you choose?

Choose Claude Code if:

• you want stable subagents, plugins and hooks to build a team-wide workflow;
• you prefer Claude models for coding;
• you need a desktop app, JetBrains plugin, Slack or web sessions alongside the CLI.

Choose Gemini CLI if:

• open source matters to you or your company;
• you want to start free, or you already pay for Google AI Pro or Ultra;
• you work heavily in Google Cloud, where Gemini CLI comes pre-installed in Cloud Shell.

Test both in an afternoon

1. Pick a real, small task from your backlog with a clear pass/fail check (a failing test, a lint error, a bug with reproduction steps).
2. Give both agents the same prompt in separate clean checkouts (worktrees help; see our worktrees guide).
3. Compare: did it pass the check, how many corrections did you make, how readable is the diff, and what did it cost?
4. Repeat with one larger task that touches several files.

Whichever wins, the habits matter more than the tool: give the agent a way to verify its work, keep context lean and review diffs. Our Claude Code best practices apply to both.

For other matchups, see Claude Code vs Codex and Claude Code vs Cursor. And if you settle on Claude Code, the Claude kit hub shows how to build a reusable setup around it.