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← Back to Gemini CLI Overview

Gemini CLI Pricing & Plans 2026

Complete pricing guide for Gemini CLI. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Gemini CLI Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Gemini CLI is worth it →

🆓Free Tier Available
💎3 Paid Plans
⚡No Setup Fees

Choose Your Plan

Free Tier

$0

mo

  • ✓Full Gemini CLI install via npm
  • ✓Access to Gemini 2.5 Pro via Google AI Studio free tier
  • ✓Rate-limited requests per minute and per day (quotas adjusted by Google periodically)
  • ✓Whole-codebase querying and editing
  • ✓Image and PDF to app generation
  • ✓Open-source code on GitHub
Start Free Trial →
Most Popular

Pay-as-you-go (Google AI Studio)

~$1.25 per 1M input tokens / ~$10.00 per 1M output tokens

mo

  • ✓All free-tier features with higher rate limits
  • ✓Gemini 2.5 Pro input pricing: ~$1.25/M tokens (≤128K context), ~$2.50/M tokens (>128K context)
  • ✓Gemini 2.5 Pro output pricing: ~$10.00/M tokens (≤128K context), ~$15.00/M tokens (>128K context)
  • ✓Higher requests-per-minute quota
  • ✓Billing through Google AI Studio account
  • ✓Prices subject to change — check ai.google.dev for current rates
Start Free Trial →

Vertex AI (Enterprise)

~$1.25 per 1M input tokens / ~$10.00 per 1M output tokens

mo

  • ✓All pay-as-you-go features at comparable per-token rates
  • ✓Enterprise SLAs and support
  • ✓VPC Service Controls and data residency
  • ✓Custom quotas and provisioned throughput
  • ✓Integration with Google Cloud IAM and billing
  • ✓Committed use discounts available for high-volume usage
  • ✓Prices subject to change — check cloud.google.com/vertex-ai/pricing for current rates
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Pricing sourced from Gemini CLI · Last verified March 2026

Feature Comparison

FeaturesFree TierPay-as-you-go (Google AI Studio)Vertex AI (Enterprise)
Full Gemini CLI install via npm✓✓✓
Access to Gemini 2.5 Pro via Google AI Studio free tier✓✓✓
Rate-limited requests per minute and per day (quotas adjusted by Google periodically)✓✓✓
Whole-codebase querying and editing✓✓✓
Image and PDF to app generation✓✓✓
Open-source code on GitHub✓✓✓
All free-tier features with higher rate limits—✓✓
Gemini 2.5 Pro input pricing: ~$1.25/M tokens (≤128K context), ~$2.50/M tokens (>128K context)—✓✓
Gemini 2.5 Pro output pricing: ~$10.00/M tokens (≤128K context), ~$15.00/M tokens (>128K context)—✓✓
Higher requests-per-minute quota—✓✓
Billing through Google AI Studio account—✓✓
Prices subject to change — check ai.google.dev for current rates—✓✓
All pay-as-you-go features at comparable per-token rates——✓
Enterprise SLAs and support——✓
VPC Service Controls and data residency——✓
Custom quotas and provisioned throughput——✓
Integration with Google Cloud IAM and billing——✓
Committed use discounts available for high-volume usage——✓
Prices subject to change — check cloud.google.com/vertex-ai/pricing for current rates——✓

Is Gemini CLI Worth It?

✅ Why Choose Gemini CLI

  • • Free to install and use via `npm install -g @google/gemini-cli` with a generous free tier through Google AI Studio (check current rate limits at ai.google.dev)
  • • Direct access to Gemini 2.5 Pro, Google's flagship coding model, with its 1-million-token context window for whole-repo reasoning
  • • Multimodal: accepts images and PDFs as input to generate apps, which most CLI competitors don't support
  • • Terminal-native design composes with shell scripts, git hooks, tmux, and CI pipelines
  • • Open-source on GitHub (github.com/google-gemini/gemini-cli), so teams can audit, fork, or self-host for compliance
  • • Single npm command install removes the friction of separate auth flows or IDE plugins

⚠️ Consider This

  • • Requires Node.js and npm in the environment, which is an extra dependency for non-JS developers
  • • No visual diff or inline editor preview — review happens in the terminal, which slows large refactors
  • • Tied to Google account billing and quotas once free-tier limits are exceeded
  • • Less mature ecosystem of plugins and extensions than Claude Code or Cursor
  • • Documentation and community examples are still thin compared to GitHub Copilot's years of head start

What Users Say About Gemini CLI

👍 What Users Love

  • ✓Free to install and use via `npm install -g @google/gemini-cli` with a generous free tier through Google AI Studio (check current rate limits at ai.google.dev)
  • ✓Direct access to Gemini 2.5 Pro, Google's flagship coding model, with its 1-million-token context window for whole-repo reasoning
  • ✓Multimodal: accepts images and PDFs as input to generate apps, which most CLI competitors don't support
  • ✓Terminal-native design composes with shell scripts, git hooks, tmux, and CI pipelines
  • ✓Open-source on GitHub (github.com/google-gemini/gemini-cli), so teams can audit, fork, or self-host for compliance
  • ✓Single npm command install removes the friction of separate auth flows or IDE plugins

👎 Common Concerns

  • ⚠Requires Node.js and npm in the environment, which is an extra dependency for non-JS developers
  • ⚠No visual diff or inline editor preview — review happens in the terminal, which slows large refactors
  • ⚠Tied to Google account billing and quotas once free-tier limits are exceeded
  • ⚠Less mature ecosystem of plugins and extensions than Claude Code or Cursor
  • ⚠Documentation and community examples are still thin compared to GitHub Copilot's years of head start

Pricing FAQ

How do I install Gemini CLI?

Install Gemini CLI globally with the command `npm install -g @google/gemini-cli`. You'll need Node.js and npm available on your system. Once installed, the `gemini` command becomes available in any terminal session. For full installation instructions and alternative methods, see the official GitHub repository at github.com/google-gemini/gemini-cli.

Is Gemini CLI free to use?

Yes, Gemini CLI is free to install and use, distributed as an open-source npm package under the @google scope. The Google AI Studio free tier provides access to Gemini 2.5 Pro with rate limits that Google adjusts periodically. For higher-volume usage, teams can upgrade to pay-as-you-go pricing through Google AI Studio at approximately $1.25 per million input tokens and $10.00 per million output tokens for Gemini 2.5 Pro (for prompts up to 128K tokens). Pricing is subject to change — check ai.google.dev for the latest rates.

What can Gemini CLI do that other AI coding tools can't?

Gemini CLI's standout capabilities are generating full applications from images or PDFs, querying and editing large codebases beyond single-file scope, and automating complex multi-step workflows from the terminal. The image-and-PDF-to-app pipeline is unusual among CLI competitors, which mostly handle text input only. It also leverages Gemini 2.5 Pro's 1-million-token context window, allowing it to load and reason about entire repositories rather than just the file you're currently editing.

How does Gemini CLI compare to Claude Code or GitHub Copilot CLI?

Compared to Claude Code, Gemini CLI offers comparable agentic terminal capabilities but with Google's Gemini 2.5 Pro model and stronger multimodal input (PDFs, images). Compared to GitHub Copilot CLI, Gemini CLI is more agentic and project-aware, while Copilot CLI focuses narrower on shell command suggestions and explanations. Choice often comes down to which model you prefer and which cloud ecosystem you're already invested in.

Can I use Gemini CLI in CI/CD pipelines?

Yes, because it's a standard CLI distributed via npm, Gemini CLI integrates into any CI/CD system that supports Node.js, including GitHub Actions, GitLab CI, CircleCI, and Jenkins. Teams use it for automated code review, doc generation, dependency upgrades, and test scaffolding triggered on PR events. Authentication is typically handled via API key environment variables, and Google's free tier covers light pipeline usage before billing kicks in.

What happens when I exceed the free-tier limits?

The Google AI Studio free tier enforces rate limits on requests per minute and per day, which Google adjusts periodically. If you exceed these limits, requests will be rate-limited until the window resets. To remove these caps, you can enable pay-as-you-go billing through Google AI Studio (approximately $1.25/M input tokens and $10.00/M output tokens for Gemini 2.5 Pro) or connect to Vertex AI via your Google Cloud account, which provides higher quotas and enterprise-grade SLAs. Check ai.google.dev for the most current pricing and quota details.

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