Google DeepMind Launches Free Version of Gemini Code Assist, Expanding AI Coding Access

Google DeepMind has introduced a free version of its AI-powered coding assistant, Gemini Code Assist, making advanced coding tools accessible to developers worldwide at no cost.This launch follows the October 2024 debut of Gemini Code Assist Enterprise, a paid version priced at $45 per month per user (or $19 per month with an annual subscription).

A Powerful AI Coding Assistant with Broad Language Support

Gemini Code Assist is powered by the Gemini 2.0 model, fine-tuned for real-world coding scenarios. It supports all publicly available programming languages and provides up to 180,000 code completions per month—far surpassing other free AI coding tools.

For context, the widely-used Cursor AI offers just 2,000 code completions per month on its free tier. Additionally, Gemini Code Assist features a 128,000-token context window, allowing developers to work seamlessly with large codebases.

The assistant integrates with major development environments, including:

• Visual Studio Code
• JetBrains IDEs
• Firebase
• Android Studio
• GitHub

Within GitHub, Gemini Code Assist enhances the development workflow by:

• Reviewing code in both public and private repositories
• Identifying bugs
• Suggesting stylistic improvements
• Summarizing pull requests

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An Essential Tool for Developers?

According to Ryan J. Salva, Google Cloud’s Senior Director of Product Management, AI-powered coding tools are becoming indispensable for developers and should be available to everyone, regardless of financial constraints. He emphasized that AI not only speeds up coding but also improves code quality through faster and more efficient reviews.

This free version builds on the foundation of Gemini Code Assist Enterprise, which launched in October 2024 as a replacement for Google’s previous AI coding assistant, Duet.

As reported by VentureBeat’s senior AI reporter, Emilia David, the enterprise version offers deeper integrations with Google Cloud services such as Firebase, BigQuery, and Colab Enterprise. It also provides:

• Advanced customization (e.g., code suggestions based on internal libraries)
• Strict data privacy (ensuring customer data is not used to train Google’s models)
• Data control (allowing users to manage and delete their data at any time)
• Legal protection (Google indemnifies users for AI-generated code under the Enterprise plan)

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The Competition for AI Dev and Code Completion Tools Intensifies

The free version of Gemini Code Assist stands out for its generous usage limits compared to other AI-powered coding tools:

• GitHub Copilot Free:

  • 2,000 code completions per month (≈80 per workday)
  • 50 chat requests per month
  • Powered by GPT-4o and Claude 3.5 Sonnet

• Amazon Q Developer Free Tier:

  • Code suggestions in IDEs and CLIs
  • 50 interactions per month (for debugging, adding tests, etc.)
  • 10 uses of AI-driven development agents
  • 1,000 lines of AI-transformed code per month

• Claude Code (Beta by Anthropic):

  • Direct integration with developers’ terminals
  • Assists with file edits, bug fixes, codebase analysis, test execution, and Git operations
  • Powered by Claude’s Sonnet 3.7 model
  • Charges based on token usage ($5–$10 per developer per day, with heavy use exceeding $100 per hour)

In comparison, Gemini Code Assist offers 180,000 monthly completions—equivalent to 6,000 per day—far surpassing GitHub Copilot Free and Amazon Q Developer. Its completely free access, with no credit card required for sign-up, makes it particularly appealing to students, hobbyists, and startups.