Name: Gemini CLI review: Google's free coding agent vs Claude Code
Item: Gemini CLI
Rating: 3.5
Author: Alex Liu

Setup: npm install, choose your model, start coding

Install is `npm install -g @google/gemini-cli`. You authenticate with a Google Cloud project and pick a Gemini model. I used Gemini 2.5 Pro which is free up to 1,500 requests per day. The CLI opens an interactive session similar to Claude Code: you describe what you want, it reads your project files, makes changes, and shows diffs. The first-run experience was smoother than Claude Code because there is no API key billing setup.

Head-to-head on 10 real tasks

I gave both tools the same 10 tasks from my saas.pet codebase. Gemini CLI succeeded on 7, failed on 3. Claude Code succeeded on 9, failed on 1. The gaps: Gemini struggled with cross-file refactors where the change touched 5+ files, producing inconsistent variable names across files. It also failed on a database migration where the SQL syntax was subtly wrong. Claude Code got both right. But on single-file changes, bug fixes, and test generation, the outputs were nearly identical.

The free tier is genuinely generous

Gemini 2.5 Pro gives 1,500 requests per day for free. At my usage rate (50 coding tasks per day), I never hit the limit. This is the strongest selling point: you get a Claude Code-level experience for $0. Compare to Claude Code at $15-25 per day. For a solo developer or a student, the cost difference is the deciding factor. Google says the free tier may change, but as of mid-2026 it has been stable for 6 months.

Where Gemini CLI is actually better

Google Search grounding is built in. When I asked 'how do I configure Vercel cron jobs in vercel.json', Gemini CLI searched the web and gave me the correct JSON syntax with the actual Vercel docs as source. Claude Code guessed and got the cron syntax wrong. Gemini also handles multimodal input better: I pasted a screenshot of a CSS bug and it identified the flexbox issue and generated the fix. Claude Code requires me to describe the visual problem in text.

The real limitations after a month

Context window management is worse than Claude. On files over 1,500 lines, Gemini CLI starts truncating context without warning, then makes changes based on incomplete code. The undo system is also primitive: it uses git reset, which means you lose ALL changes from the session, not just the last one. Claude Code has fine-grained undo that reverts individual file changes. And the error recovery loop is slower: when a change introduces a bug, Gemini takes 3-4 iterations to fix it versus 1-2 for Claude.

Frequently Asked Questions

Is Gemini CLI better than Copilot for my workflow?

Depends on your stack. Cody (Sourcegraph) is best for large codebases with cross-repo context. Copilot is best for VS Code + standard workflows. Cursor is best for AI-first coding. I use Cody for saas.pet because it understands my whole monorepo. For a typical project, Copilot is the safer bet.

How accurate is Gemini CLI on large codebases (100K+ lines)?

Cody (Sourcegraph) handles 100K+ line codebases well because it indexes your whole repo. Copilot struggles with large codebases because it only sees the current file plus recent context. For a 500-line project, both are similar. For a 100K+ line project, Cody is significantly better.

Does Gemini CLI send my code to its servers?

Yes, by default. Both Cody and Copilot send code context to their LLM providers. Cody offers privacy mode where code is not stored or used for training. I have privacy mode on for client work. Read the terms before using any AI code assistant on proprietary code.

Is Gemini CLI worth the subscription if I already use Cursor?

For most people, no. Cursor and Copilot cover 90% of use cases. Cody is the differentiator for large codebases. If you work on a single project under 50K lines, stick with Cursor or Copilot. If you work on multiple large repos, Cody is worth the additional $9/mo.

Gemini CLI review: Google's free coding agent vs Claude Code