Gemini CLI Review: Google's New AI Coding Assistant Tested

Overview and Installation

I’ve been testing Gemini CLI extensively over the past month. As Google's foray into AI-assisted coding from the command line, it promises deep integration with the Gemini model family. Installation is straightforward: npm install -g @google/gemini-cli or via Homebrew. No cloud account is strictly required, but you do need a Google Cloud project for API access. The initial setup took me about 10 minutes, including authentication.

Key Features

• Multi-file editing: Gemini CLI can read and modify multiple files in a project, though I found its context limit (around 128K tokens) restrictive on larger codebases.
• Git-aware operations: It automatically stages changes and can generate commit messages—handy for git workflows.
• Interactive shell: A REPL-like mode where you can ask follow-up questions. It’s less polished than Claude Code but functional.
• Custom instructions: You can provide a system prompt to steer the model’s coding style.

Performance Benchmarks

I compared Gemini CLI to Cursor and Claude Code on a set of common coding tasks: generating unit tests, refactoring functions, and writing API endpoints. Gemini CLI handled straightforward tasks quickly, but I noticed it struggled with multi-step logic and often needed several iterations. In contrast, Claude Code delivered more accurate results on the first attempt, though at a slower pace. For routine tasks like boilerplate generation, Gemini CLI was adequate.

Ease of Use

The CLI commands are intuitive (gemini explain, gemini refactor), but error messages are often cryptic. The lack of a debug mode makes troubleshooting slow. For beginners, the learning curve is steeper than Cursor’s GUI but comparable to other CLI tools like Codestral.

Pricing

Gemini CLI itself is free, but you pay for API consumption. For reference, according to the latest pricing snapshot, Claude Opus 4 costs $15 per million input tokens and $75 per million output tokens. Gemini's API pricing varies by model and is generally competitive, though you'll need to check Google Cloud's current rates. The pay-as-you-go model avoids subscriptions but can add up with heavy use.

Pros and Cons

Pros:

• Free CLI tool with no subscription lock-in
• Deep integration with Google Cloud ecosystem
• Fast iteration on simple refactors
• Git-aware features save time on version control

Cons:

• Context window limitations hinder large projects
• Lower accuracy on complex code generation compared to Claude Code
• Cryptic error messages and sparse documentation
• No built-in linting or testing integration

Verdict

Gemini CLI is a solid entry-level tool for developers embedded in Google Cloud, but it doesn't yet match the polish or accuracy of Claude Code or Cursor. For solo projects and simple refactors, it’s worth trying; for complex production codebases, you’ll likely want a more robust assistant. It's a promising start, but Google needs to expand the context window and improve code understanding.