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Comparing Google Antigravity and Void: A Comprehensive Overview

Alex Hrymashevych Author by:
Alex Hrymashevych
Last update:
25 Jan 2026
Reading time:
~ 3 mins

Google Antigravity

Google Antigravity is a standalone application designed to operate seamlessly across macOS, Windows, and Linux platforms. Developed by Google, this tool supports a wide range of large language models (LLMs) including Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS 120B, and others, allowing for versatile and comprehensive AI interactions. It boasts a substantial context window of 1 million tokens, facilitating extensive data processing capabilities. The tool is equipped with features like multi-file agentic editing, full terminal access, and predictive edits, making it a powerful choice for advanced users. Privacy is maintained through a standard privacy policy, and it holds SOC2 Type II certification for enterprise-level security. Google Antigravity offers both free and pro pricing tiers, and uses a configuration file named .antigravityrc for setup, which requires some initial configuration.

Pros

  • Supports a wide range of LLMs
  • Large context window of 1 million tokens
  • Full terminal access and predictive edits
  • SOC2 Type II certification
  • Free tier available

Cons

  • Requires setup for migration
  • Standard privacy policy may not suit all needs

Void

Void is an open-source standalone tool compatible with Windows, macOS, and Linux operating systems. It supports an impressive array of LLMs, including Gemini 2.5, Claude 3.7, GPT-4, and many more, providing users with a diverse range of AI functionalities. One of its standout features is the unlimited context window through RAG, enabling limitless data handling. Void offers multi-file agentic editing and full terminal access, similar to Google Antigravity, but distinguishes itself with a zero data retention (ZDR) privacy mode, ensuring maximum user data protection. The tool is SOC2 Type II certified, guaranteeing enterprise-level security. Additionally, Void is entirely free and offers seamless migration, making it a user-friendly option for those seeking a robust AI tool without the hassle of complicated setup processes.

Pros

  • Open-source and completely free
  • Unlimited context window through RAG
  • Zero data retention privacy mode
  • Seamless migration process
  • Supports a wide range of LLMs

Cons

  • Limited to open-source support channels
  • May lack proprietary features found in commercial software

Comparison Table

Feature Google Antigravity Void
Architecture Type standalone standalone
Supported Os macOS, Windows, Linux Windows, macOS, Linux
Developer Google Void (open-source)
Supported Llms Gemini 3 Pro (High/Low), Claude Sonnet 4.5 (Thinking/Standard), GPT-OSS 120B, Ollama/Llama (local), Granite 4.0 Gemini 2.5, Claude 3.7, GPT-4, Grok 3, o4-mini, Qwen 3, DeepSeek, Llama, Gemma 3
Context Window 1M tokens Unlimited (RAG)
Agentic Editing Yes, multi-file Yes, multi-file
Terminal Access Full Full
Privacy Mode Standard Privacy Policy Zero Data Retention (ZDR)
Certifications SOC2 Type II (Enterprise) SOC2 Type II (Enterprise)
About Price Free/Pro Free
Config File .antigravityrc settings.json
Migration Requires setup Seamless

Conclusion

Both Google Antigravity and Void offer powerful features for users requiring advanced AI capabilities. While Google Antigravity impresses with its broad LLM support and enterprise certifications, Void provides a strong open-source alternative with unlimited context capabilities and a superior privacy mode. User choice may ultimately depend on specific privacy needs and preferences for open-source versus proprietary support.