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Gemini CLI pricing, features, company info, and alternatives
A factual product page for Google's open-source terminal AI agent.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Gemini CLI, last verified Apr 17, 2026.
Free
$0 / month
Personal Google account access; Gemini CLI gets 60 requests per minute and 1,000 requests per day during the preview rollout.
Google AI Plus
$7.99 / month
Includes higher Gemini CLI request limits through the Google AI Plus subscription.
Google AI Pro
$19.99 / month
Includes higher daily request limits in Gemini CLI and Gemini Code Assist IDE extensions.
Google AI Ultra
$249.99 / month
Includes the highest daily request limits in Gemini CLI and Gemini Code Assist IDE extensions.
Google AI Studio / Vertex AI
Usage-based
Use a Gemini API key or Vertex AI key for pay-as-you-go access.
What You Can Do With It
The main capabilities that shape how people use Gemini CLI today.
Open-source terminal AI agent that uses a ReAct loop with built-in tools for code and task work.
Supports local and remote MCP servers so the CLI can reach external tools and project-specific workflows.
Uses GEMINI.md files, memory, and custom commands to keep long-running sessions aligned with project context.
Shares model routing and quotas with Gemini Code Assist, and can run without extra setup in Cloud Shell.
Best For
Who Gemini CLI is most clearly built for.
Developers who want AI assistance directly in the terminal instead of a separate chat app.
Teams that need repeatable project context, memory, and tool access in a command-line workflow.
People who want to use Google's models with either free access, AI subscriptions, or pay-as-you-go keys.
Model Notes
Current model information surfaced publicly for Gemini CLI.
Latest model
Gemini 3.1 Pro Preview
Model
Gemini 3 Pro Preview
Model
Gemini 3 Flash Preview
Model
Gemini 2.5 Pro
Model
Gemini 2.5 Flash
Company
Leadership and company context for Google.
CEO
Sundar Pichai
Founders
Larry Page, Sergey Brin
Headquarters
Mountain View, CA, USA
Platforms
Where you can use Gemini CLI today.
Terminal
Cloud Shell
Integrations
Notable connected tools and ecosystem hooks for Gemini CLI.
MCP servers
Gemini Code Assist
Google AI Studio
Vertex AI
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Gemini CLI.
For individuals, the Gemini Code Assist privacy notice also applies to Gemini CLI.
For Standard and Enterprise customers, the Gemini Code Assist Standard and Enterprise privacy practices also apply to Gemini CLI.
Google documents separate terms for AI Studio and Vertex AI key-based access.
Alternatives
Other tools worth considering alongside Gemini CLI.
Anthropic's coding agent for terminal, web, and IDE-based software work.
OpenAI's coding agent for parallel software tasks across the cloud, terminal, and IDE.
Open-source AI coding agent for editor, terminal, and browser-assisted development work.
AWS agentic IDE and CLI for spec-driven coding, hooks, and MCP-powered workflows.
Product Snapshot
Gemini CLI is Google’s open-source AI agent for terminal-based coding, debugging, research, and task automation. It is aimed at developers who want Gemini inside a command-line workflow.
What You Can Do With It
- Run coding, debugging, and repo-refactoring tasks from the terminal with built-in tools.
- Use local or remote MCP servers and built-in web search and fetch tools for grounded workflows.
- Save project instructions with
GEMINI.mdfiles and persistent memory for repeatable sessions. - Use Cloud Shell without extra setup or connect through Google AI Studio and Vertex AI keys for different billing paths.
Why It Stands Out
It combines an open-source terminal agent, Google model routing, and project-level context files in one command-line workflow.
Tradeoffs To Know
- Free access is tied to a personal Google account, and preview quotas are much lower once the free allowance is used up.
- Gemini CLI shares quotas with Gemini Code Assist agent mode, so terminal and IDE use compete for the same limits.
- The product is terminal-first, so users who want a graphical agent surface will need a different tool.
- Model access changes by plan, especially when you move from free access to AI Studio, Vertex AI, or Google AI subscriptions.
Sources
- geminicli.com/plans
- gemini.google/aw/subscriptions
- blog.google/innovation-and-ai/technology/developers-tools/introducing-gemini-cli-open-source-ai-agent
- about.google/company-info
- about.google/company-info/our-story
- about.google/company-info/locations
- geminicli.com/docs/get-started/gemini-3
- geminicli.com/docs/reference/configuration
- developers.google.com/gemini-code-assist/docs/gemini-cli
- geminicli.com/docs
- geminicli.com/docs/cli/gemini-md
- geminicli.com
- geminicli.com/docs/cli/tutorials/web-tools
- developers.google.com/gemini-code-assist/resources/privacy-notices