Google Antigravity
Google Antigravity is a versatile and powerful standalone tool designed to work across multiple operating systems including macOS, Windows, and Linux. Developed by Google, it supports a wide range of large language models like Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS 120B among others. With a context window of up to 1 million tokens, it offers extensive capabilities for local inference and agentic editing across multiple files. The tool provides full terminal access and predictive editing, making it a valuable asset for developers. It is certified with SOC2 Type II for enterprise-level security, ensuring adherence to privacy policies. Google Antigravity is available with a free tier, making it accessible for various users.
Pros
- ✓ Supports multiple operating systems.
- ✓ Wide range of supported LLMs.
- ✓ Large context window of 1 million tokens.
- ✓ Full terminal access and predictive edits.
- ✓ Enterprise-level security certifications.
Cons
- ✕ Requires setup for migration.
- ✕ Limited to Google's privacy standards.
IntelliJ IDEA
IntelliJ IDEA, developed by JetBrains, is a standalone tool compatible with Windows, macOS, and Linux. It supports several large language models including GPT-5, Gemini 2.0, and offers its custom model, JetBrains SLMs. With a context window of 200k tokens, IntelliJ IDEA excels at local inference and multi-file agentic editing, providing full terminal access alongside predictive editing capabilities. It is designed with enterprise-level security in mind, certified with SOC2 Type II, ensuring data protection and privacy. The tool is available with a free tier, making it a cost-effective solution for developers looking for a robust development environment.
Pros
- ✓ Supports a variety of large language models.
- ✓ Customizable with JetBrains SLMs.
- ✓ Enterprise-level security certifications.
- ✓ Full terminal access and predictive edits.
Cons
- ✕ Requires setup for migration.
- ✕ Smaller context window compared to Google Antigravity.
Comparison Table
| Feature | Google Antigravity | IntelliJ IDEA |
|---|---|---|
| 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, Gemini 2.0, Llama 4, Mistral Enterprise, JetBrains SLMs |
| Custom Model | – | JetBrains SLMs |
| 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 | .intellij-ai-config |
| Migration | Requires setup | Requires setup |
Conclusion
Both Google Antigravity and IntelliJ IDEA offer robust features with strong support for large language models and full terminal access. While Google Antigravity provides a larger context window, IntelliJ IDEA offers customization through JetBrains SLMs. Both tools require setup for migration and adhere to standard privacy policies. Choosing between them will depend on specific needs such as context window size and model customization options.