I Replaced Claude Code With Google’s Free Gemini CLI for a Week — Here’s What Happened

I’ve been paying $20/month for Claude Code Pro for over a year. It’s been my daily driver — writing features, debugging, reviewing PRs. When Google dropped Gemini CLI with a free tier of 1,000 requests per day, I had to find out: can a free tool actually replace a paid one?

I used Gemini CLI as my primary coding agent for 7 days straight. No Claude Code. No Cursor. Just me, my terminal, and Google’s Gemini 3 models.

The short answer: it’s shockingly close. The long answer has some real caveats.

What Gemini CLI Actually Is

Gemini CLI is Google’s open-source AI agent that runs directly in your terminal. It’s not a VS Code extension or a web app — it’s a command-line tool, like git or docker. You install it, authenticate with your Google account, and start talking to Gemini.

The numbers are wild: 104,000 GitHub stars, 13,700 forks, and over 6,100 commits. It’s Apache 2.0 licensed. Google is all-in on this.

Here’s how to get started:

# Install globally
npm install -g @google/gemini-cli

# Or run instantly without installing
npx @google/gemini-cli

# Authenticate with your Google account (free tier)
gemini

That’s it. No credit card. No API key setup. You sign in with your Google account and you get 1,000 requests per day. For context, Claude Code’s free tier gives you roughly 50–100 requests per day before you hit the wall.

The Free Tier Is the Real Story

Let me put the pricing in perspective:

| Tool                        | Free Tier            | Paid Tier                |
|-----------------------------|----------------------|--------------------------|
| Gemini CLI (Google account) | 1,000 req/day        | Google AI Pro: 1,500/day |
| Gemini CLI (API key)        | 250 req/day          | Pay-as-you-go            |
| Claude Code                 | ~50-100 req/day      | Pro: $20/month           |
| Cursor                      | 500 fast requests/mo | Pro: $20/month           |

Gemini CLI gives you 10–20x more free requests than Claude Code. Even if you burn through 1,000 requests in a heavy day, you reset at midnight. For most developers, that’s more than enough.

The rate limit is 60 requests per minute, which sounds low until you realize that a single complex prompt counts as one request — even if Gemini CLI makes multiple internal model calls to complete it.

What It Gets Right (Better Than Expected)

1. The 1M Token Context Window Changes Everything

Gemini CLI gives you a 1 million token context window on the free tier. Claude Code Pro gives you a smaller effective context. On a large codebase I work with (~200 files), Gemini CLI could ingest the entire project structure in a single session and reason about cross-file dependencies without me having to manually specify which files to include.

# Point it at your whole project
gemini --include-directories ./src,./lib,./docs

# Ask it to reason about the entire codebase
> "Map out the authentication flow from the API gateway to the database layer"

This alone is worth the price of admission (which is zero).

1. Google Search Grounding Is Built In

When I asked Gemini CLI about a recent npm package vulnerability, it didn’t just rely on its training data — it searched Google and gave me real-time results with sources. Claude Code can do this too, but only with explicit tool configuration. In Gemini CLI, it’s automatic.

> "Check if there are any known vulnerabilities in express 4.18.2"
# Returns live search results with CVE links

1. GEMINI.md Is Like CLAUSE.md But Simpler

You can create a GEMINI.md file in your project root to give Gemini CLI persistent context — coding conventions, project structure, preferred libraries. It works exactly like Claude Code’s CLAUDE.md, and the format is straightforward:

# Project Context

## Stack
- TypeScript, Node.js 20, PostgreSQL
- Testing with Vitest
- Deployed on Cloud Run

## Conventions
- Use named exports, never default exports
- All API routes go in /src/routes
- Database queries use the repository pattern

1. Headless Mode for CI/CD

This is where Gemini CLI shines for automation. You can run it non-interactively in scripts:

# Get structured JSON output
gemini -p "Review the changes in src/auth/ and list security issues" --output-format json

# Use in a CI pipeline
gemini -p "Check if this PR introduces any breaking changes" --output-format json > review.json

I set up a simple pre-push hook that runs Gemini CLI on my diffs. It catches stupid mistakes before they hit the remote.

What It Gets Right (But Differently)

1. MCP Support Works Out of the Box

Gemini CLI supports MCP (Model Context Protocol) servers. You configure them in ~/.gemini/settings.json:

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"]
    }
  }
}

Then you can do things like:

> @github List my open pull requests
> @github Create a PR for the current branch with a summary of changes

The MCP ecosystem is the same one Claude Code uses, so any MCP server you’ve built for one works with the other.

1. Checkpointing Saves Your Sanity

Gemini CLI can save and resume conversation checkpoints. When I’m deep into a complex refactoring session and need to switch contexts, I just save the checkpoint:

# Inside a session
/save refactor-session-1

# Later, resume exactly where you left off
/load refactor-session-1

This sounds small until you’ve lost a 45-minute Claude Code session because you closed your terminal.

Where Claude Code Still Wins

I want to be honest here — Gemini CLI isn’t strictly better. There are real gaps.

1. Code Completion Quality

For raw code generation — especially complex algorithms or unfamiliar frameworks — Claude Code still produces better first-pass code. Gemini CLI’s outputs were good but occasionally required more back-and-forth to get right. On a scale of 1–10, I’d give Claude Code a 9 for code quality and Gemini CLI a 7.5.

1. Multi-File Refactoring

When I asked both tools to refactor a service layer across 15+ files, Claude Code handled the cross-file dependencies more reliably. Gemini CLI occasionally missed edge cases in files it wasn’t directly editing. The 1M context window helps, but Claude Code’s agentic loop seems more thorough for complex multi-step operations.

1. The Ecosystem Is Younger

Claude Code has been around longer. There are more tutorials, more community configs, more battle-tested workflows. Gemini CLI is catching up fast (104k stars doesn’t lie), but when I hit a weird edge case, I found more Claude Code solutions on Stack Overflow.

1. No Equivalent to Claude Code’s “Extended Thinking”

Claude Code’s extended thinking mode (where it plans before acting) is more mature than Gemini CLI’s Plan Mode. Gemini CLI has a plan mode, but in my testing, it was less detailed and sometimes skipped steps that Claude Code would catch.

The Realistic Breakdown: When to Use Which

After a week of daily use, here’s my honest recommendation:

Use Gemini CLI if:

• You want a powerful free coding agent and don’t want to pay $20/month
• You work with large codebases and need the 1M token context window
• You want built-in Google Search grounding without extra setup
• You need headless/scriptable mode for CI/CD pipelines
• You’re already in the Google ecosystem

Stick with Claude Code if:

• You do heavy multi-file refactoring daily and need the most reliable agentic loop
• You rely on extended thinking for complex architectural decisions
• You’ve already built workflows and configs around Claude Code
• You need the absolute best first-pass code quality

The smart play: use both. Start your day with Gemini CLI (free tier). If you hit a task where it struggles, switch to Claude Code for that specific job. You’ll burn through your Claude Code quota much slower.

How to Migrate From Claude Code

If you want to try Gemini CLI as your primary tool, here’s the migration path:

# 1. Install
npm install -g @google/gemini-cli

# 2. Create your project context file
cat > GEMINI.md << 'EOF'
# Project: MyApp
## Stack: TypeScript, React, Node.js, PostgreSQL
## Test: Vitest
## Deploy: Docker + Cloud Run
## Conventions: Named exports, repository pattern for DB
EOF

# 3. Authenticate (opens browser)
gemini

# 4. Start working
gemini --include-directories ./src,./tests

Copy your CLAUDE.md content into GEMINI.md — the format is nearly identical. Your MCP servers will work with minimal config changes. Your muscle memory for terminal-based AI coding transfers directly.

The Bottom Line

Google didn’t just clone Claude Code. They built something that’s genuinely competitive, wrapped it in a free tier that’s 10–20x more generous, and open-sourced the whole thing. The 1M token context window alone is a game-changer for large projects.

Is it perfect? No. Claude Code still edges it out on complex multi-file operations and raw code quality. But “not quite as good as a $20/month tool” is a very different sentence from “not good enough.” Gemini CLI is more than good enough for most development work — and the price (free) makes it an easy experiment.

I’m not canceling my Claude Code Pro subscription yet. But I’m not renewing it automatically either. Gemini CLI earned its place in my daily workflow, and I didn’t pay a cent for it.

TL;DR:

• Gemini CLI gives you 1,000 free requests/day (vs ~50–100 for Claude Code)
• 1M token context window on the free tier — massive for large codebases
• Built-in Google Search grounding, MCP support, headless mode, checkpointing
• Claude Code still wins on complex multi-file refactoring and raw code quality
• Best strategy: use Gemini CLI as your daily driver, Claude Code for hard problems
• Install: npm install -g @google/gemini-cli

What’s your experience been? Have you tried switching from Claude Code to Gemini CLI? Drop a comment — I want to know if my experience matches yours.