Google Antigravity: A Comprehensive Overview
Google Antigravity is a standalone application developed by Google, designed to be compatible across a range of operating systems including macOS, Windows, and Linux. It supports a wide variety of language models, such as Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS 120B, and Ollama/Llama, offering both high and low inference capabilities. Its extensive context window of 1 million tokens sets it apart, providing significant room for complex data processing and analysis. With full terminal access and agentic editing capabilities, users can manage multi-file projects efficiently. Google Antigravity also includes predictive editing features, enhancing its utility in dynamic editing environments. While it follows a standard privacy policy, it maintains a strong security posture with SOC2 Type II certification. The tool is available in both free and pro versions, with a straightforward setup process.
Pros
- ✓ Supports a wide range of LLMs
- ✓ Large context window of 1 million tokens
- ✓ Full terminal access with multi-file editing
- ✓ Predictive editing capabilities
- ✓ Free tier availability
Cons
- ✕ Standard privacy policy may not suit all needs
- ✕ Requires setup for migration
PearAI: Innovative AI Solutions
PearAI offers a standalone platform that excels in providing AI-driven solutions across Windows, macOS, and Linux. It supports several advanced language models, including GPT-4, Claude 3 Opus, and Llama 3.1, while also featuring its proprietary PearAI Model for custom applications. With a context window of 200,000 tokens, it ensures efficient data handling for a variety of tasks. PearAI emphasizes data privacy with a Zero Data Retention policy, making it an excellent choice for privacy-conscious users. The tool’s seamless migration process and full terminal access enhance its user experience, while its competitive pricing model ranges from free to a maximum of $200 per month. PearAI’s commitment to security is demonstrated by its SOC2 Type II certification.
Pros
- ✓ Zero Data Retention privacy policy
- ✓ Supports multiple advanced LLMs
- ✓ Custom model availability
- ✓ Seamless migration process
- ✓ Full terminal access with multi-file editing
Cons
- ✕ Smaller context window compared to competitors
- ✕ Pricing can reach up to $200/month
Comparison Table
| Feature | Google Antigravity | PearAI |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | macOS, Windows, Linux | Windows, macOS, Linux |
| Developer | PearAI | |
| Supported Llms | Gemini 3 Pro (High/Low), Claude Sonnet 4.5 (Thinking/Standard), GPT-OSS 120B, Ollama/Llama (local), Granite 4.0 | GPT-4, GPT-4o, Claude 3 Opus, Llama 3.1 405b, PearAI Model |
| Custom Model | – | PearAI Model |
| Context Window | 1M tokens | 200k tokens |
| 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 – $200/mo |
| Config File | .antigravityrc | .pearrc |
| Migration | Requires setup | Seamless |
Conclusion
Both Google Antigravity and PearAI offer robust AI tools with unique features. Google Antigravity stands out with its extensive context window and support for numerous language models, making it ideal for complex data processing tasks. Meanwhile, PearAI’s emphasis on privacy and seamless migration makes it a strong contender for users prioritizing data security and ease of use. Choosing between them depends largely on user needs regarding privacy, context capacity, and budget.