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Comparing Cursor and Google Antigravity: A Technical Overview

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

Cursor

Cursor is a versatile standalone tool designed for Windows, macOS, and Linux, developed by the company of the same name. It supports a diverse range of language models including GPT-4, GPT-4 Turbo, GPT-4o, and even the anticipated GPT-5 (High MAX). Cursor also features its custom model, cursor-small, which enhances its adaptability. With a generous context window of 1 million tokens and advanced capabilities like agentic editing across multiple files, Cursor is built for efficiency. The tool offers full terminal access and predictive edits, making it a robust choice for developers and writers. Privacy is maintained through a standard policy, and it holds the SOC2 Type II certification for enterprise-level security. The pricing is accessible, with a free tier available and premium options up to $20 per month. Seamless migration and configuration via the .cursorrules file simplify the user experience.

Pros

  • Supports a wide range of LLMs including GPT-5.
  • Custom model for enhanced adaptability.
  • Generous 1M tokens context window.
  • Full terminal access and predictive edits.
  • Seamless migration.

Cons

  • No local inference capability.
  • Requires an internet connection for certain functionalities.

Google Antigravity

Google Antigravity stands out as a powerful standalone tool compatible with macOS, Windows, and Linux. Developed by Google, it supports high-end language models such as Gemini 3 Pro and Claude Sonnet 4.5, providing robust functionality for various applications. Unique to Antigravity is its local inference capability, allowing users to perform complex tasks without relying on internet connectivity. Like Cursor, it supports agentic editing across multiple files and offers full terminal access. Despite its sophisticated features, users may need to invest time in setup due to its less seamless migration process. With both free and professional tiers, Antigravity ensures flexibility in pricing. The .antigravityrc configuration file aids in customization, while standard privacy policies and SOC2 Type II certification ensure user data security.

Pros

  • Local inference capability.
  • Supports advanced LLMs like Gemini 3 Pro.
  • Full terminal access and predictive edits.
  • Flexible pricing structure.

Cons

  • Migration requires setup.
  • Possibly more complex setup compared to Cursor.

Comparison Table

Feature Cursor Google Antigravity
Architecture Type standalone standalone
Supported Os Windows, macOS, Linux macOS, Windows, Linux
Developer Cursor Google
Supported Llms GPT-4, GPT-4 Turbo, GPT-4o, GPT-5 (High MAX), Claude 3.5 Sonnet, Gemini, cursor-small, Supermaven Gemini 3 Pro (High/Low), Claude Sonnet 4.5 (Thinking/Standard), GPT-OSS 120B, Ollama/Llama (local), Granite 4.0
Custom Model cursor-small
Context Window 1M tokens 1M tokens
Agentic Editing Yes, multi-file Yes, multi-file
Terminal Access Full Full
Privacy Mode Standard Privacy Policy Standard Privacy Policy
Certifications SOC2 Type II (Enterprise) SOC2 Type II (Enterprise)
About Price Free – $20/mo Free/Pro
Config File .cursorrules .antigravityrc
Migration Seamless Requires setup

Conclusion

<p>Both Cursor and Google Antigravity offer comprehensive solutions for users seeking robust standalone tools compatible with major operating systems. While Cursor excels with its seamless migration and extensive LLM support, Google Antigravity offers the advantage of local inference and flexible pricing. Users should consider their specific needs, such as the necessity for local processing or ease of setup, when choosing between these two innovative tools.</p>