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Comparing Google Antigravity and Melty: A Detailed Analysis

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

Google Antigravity

Google Antigravity is a versatile standalone application developed by Google, compatible with macOS, Windows, and Linux operating systems. Designed with advanced capabilities, it supports multiple large language models (LLMs) including Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS 120B, among others. The tool boasts an impressive context window of 1 million tokens, allowing users to process extensive data efficiently. Local inference capability ensures quick processing without needing constant internet access. Users benefit from agentic editing with multi-file support and full terminal access, enhanced by predictive edits, making it a powerful tool for developers and content creators. Google Antigravity adheres to a standard privacy policy and holds SOC2 Type II certification for enterprise use, offering both free and professional pricing tiers.

Pros

  • Supports a wide range of LLMs including local models.
  • Extensive 1M token context window.
  • Full terminal access with agentic multi-file editing.
  • Predictive edits enhance user efficiency.
  • SOC2 Type II certified for enterprise security.

Cons

  • Requires setup for migration.
  • No custom model support specified.

Melty

Melty is a standalone application crafted by Charlie Holtz and Jackson de Campos, designed to work seamlessly across Windows, macOS, and Linux systems. It supports a variety of large language models, including GPT-5 and Gemini 3.0, with a substantial context window of 200k tokens. Like Google Antigravity, Melty allows for local inference, ensuring rapid processing even offline, and supports agentic editing across multiple files. Full terminal access and predictive edits are also featured, promoting a smooth user experience. The application follows a standard privacy policy and is SOC2 Type II certified, making it a reliable choice for enterprises. Melty is available in both free and professional versions, requiring setup for migration.

Pros

  • Compatible with major operating systems.
  • Supports popular LLMs including GPT-5.
  • Local inference for efficient offline processing.
  • Full terminal access with multi-file editing.
  • Predictive edits available.

Cons

  • Smaller context window compared to Google Antigravity.
  • Requires setup for migration.

Comparison Table

Feature Google Antigravity Melty
Architecture Type standalone standalone
Supported Os macOS, Windows, Linux Windows, macOS, Linux
Developer Google Charlie Holtz, Jackson de Campos
Supported Llms Gemini 3 Pro (High/Low), Claude Sonnet 4.5 (Thinking/Standard), GPT-OSS 120B, Ollama/Llama (local), Granite 4.0 GPT-5, Claude 4.5, Gemini 3.0, o3
Context Window 1M tokens 200k 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/Pro Free/Pro
Config File .antigravityrc .meltyrc
Migration Requires setup Requires setup

Conclusion

Both Google Antigravity and Melty are powerful standalone tools offering robust features for developers and content creators. While Google Antigravity shines with its extensive token capacity and wide LLM support, Melty provides strong LLM capabilities with its own unique advantages. Both tools require setup for migration and adhere to high security standards, making them reliable choices depending on user needs.