June 26, 2025 – Google has officially launched Gemini CLI, a new command-line interface tool that brings the power of its Gemini artificial intelligence models directly to developers’ terminals.
This cutting-edge release marks a significant expansion of Google’s AI portfolio, designed to streamline software development and support a wide range of creative and technical tasks.
The Gemini CLI acts as a bridge between Google’s advanced AI systems and local codebases, enabling developers to issue natural language commands within their terminal environments. By typing plain English instructions, users can now automate workflows, generate code, and manage projects with enhanced speed and precision. With this move, Google positions Gemini CLI as a direct competitor to existing command-line AI tools like OpenAI’s Codex CLI and Anthropic’s Claude Code.
Beyond coding, Gemini CLI boasts broader agentic AI capabilities. It allows developers to generate videos using Google’s Veo 3 model, create research reports with the Deep Research agent, and retrieve real-time data through Google Search—all from within the terminal interface. This multifunctionality sets Gemini apart as more than just a coding assistant.
In a move to support open innovation, Google is releasing Gemini CLI under the permissive Apache 2.0 open-source license. This ensures developers worldwide can modify, extend, and integrate the tool freely into their workflows. Free-tier users will be allowed up to 60 model queries per minute and a generous 1,000 requests per day—limits that, according to Google, are nearly twice the typical volume experienced during internal testing.
The introduction of Gemini CLI underscores Google’s commitment to democratizing AI development tools and reinforcing its leadership in the AI race. As AI continues to transform how developers write code and solve problems, Gemini offers a highly capable and customizable assistant directly in the developer’s most familiar workspace—the terminal.
With the debut of Gemini CLI, Google is not only expanding the reach of its AI ecosystem but also redefining how developers interact with intelligent systems in everyday development environments.