Google Antigravity
Google Antigravity is a robust standalone tool designed for developers seeking high-level capabilities across multiple platforms, including macOS, Windows, and Linux. Developed by Google, this tool supports an array of language models such as Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS 120B, ensuring a versatile user experience. With a generous context window of 1M tokens, Antigravity provides comprehensive local inference and agentic editing, making it a powerful choice for complex multi-file editing tasks. Full terminal access and predictive edits enhance its functionality, while its compliance with SOC2 Type II certification underscores its reliability. The tool offers a free tier with professional features, and its configuration is managed through the .antigravityrc file, although it requires initial setup for migration purposes.
Pros
- ✓ Supports multiple platforms: macOS, Windows, Linux
- ✓ Wide array of supported language models
- ✓ Extensive context window of 1M tokens
- ✓ Local inference capabilities
- ✓ SOC2 Type II certification
Cons
- ✕ Initial setup required for migration
- ✕ Privacy limited to standard policy
JetBrains PyCharm
JetBrains PyCharm is a standalone development tool catering to Windows, macOS, and Linux users. It supports various language models, including GPT-5 and Claude 4.5, offering a comprehensive development environment. With a context window of 200k tokens, PyCharm is optimized for local inference and multi-file agentic editing. Its full terminal access and predictive editing features make it highly efficient for developers. The tool adheres to a standard privacy policy and holds SOC2 Type II certification, ensuring secure operations. PyCharm is available in a free tier or a subscription model priced up to $27 per month. Configuration is handled through the pyproject.toml file, and migration requires setup, making it a versatile tool for professionals.
Pros
- ✓ Cross-platform compatibility: Windows, macOS, Linux
- ✓ Supports a variety of language models
- ✓ Local inference and multi-file editing
- ✓ SOC2 Type II certified
- ✓ Affordable pricing options
Cons
- ✕ 200k token context window may be limiting for some
- ✕ Requires setup for migration
Comparison Table
| Feature | Google Antigravity | PyCharm |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | macOS, Windows, Linux | Windows, macOS, Linux |
| Developer | JetBrains | |
| 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, Cursor |
| 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 – $27/mo |
| Config File | .antigravityrc | pyproject.toml |
| Migration | Requires setup | Requires setup |
Conclusion
Both Google Antigravity and JetBrains PyCharm offer robust capabilities for developers across various platforms. While Antigravity shines with its extensive context window and wide model support, PyCharm provides a cost-effective solution with strong development features. Choosing between them depends on specific needs such as context size and budget considerations.