Google Antigravity
Google Antigravity is a standalone tool developed by Google, designed to cater to a wide range of users across different operating systems, including macOS, Windows, and Linux. It supports an extensive array of large language models (LLMs) such as Gemini 3 Pro and Claude Sonnet 4.5 among others, ensuring flexibility and adaptability for various AI-driven tasks. One of the standout features of Google Antigravity is its generous context window of 1 million tokens, which allows for complex and extensive data processing. This tool also supports local inference, providing users with the ability to process data locally for greater control over their computations. Equipped with agentic editing capabilities and full terminal access, it offers robust functionality for advanced editing and development. Despite its powerful features, Google Antigravity maintains a standard privacy policy and offers a free tier, making it accessible to a wide audience.
Pros
- ✓ Supports a wide range of LLMs.
- ✓ Extensive context window of 1M tokens.
- ✓ Local inference capability.
- ✓ Free tier available.
Cons
- ✕ Requires setup for migration.
- ✕ Privacy mode is standard, not enhanced.
Windsurf
Windsurf is a versatile tool that operates on Windows, macOS, and Linux, developed by Windsurf. It provides a flexible platform for users by offering support for the SWE-1.5 model and allowing user-provided models, thereby catering to a diverse range of AI applications. With a context window of 200,000 tokens, Windsurf is designed for substantial data handling, albeit slightly less extensive than its counterpart. Unlike Google Antigravity, Windsurf does not support local inference, which could be a limitation for users needing on-device processing. However, it ensures a seamless migration process, enhancing user experience. The tool supports multi-file agentic editing and grants full terminal access, promoting a comprehensive editing environment. Windsurf’s pricing model ranges from a free tier to a $30 monthly subscription, providing options for different user needs.
Pros
- ✓ Supports user-provided models.
- ✓ Seamless migration process.
- ✓ Full terminal access available.
- ✓ Free tier available.
Cons
- ✕ No local inference capability.
- ✕ Smaller context window compared to competitors.
Comparison Table
| Feature | Google Antigravity | Windsurf |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | macOS, Windows, Linux | Windows, macOS, Linux |
| Developer | Windsurf | |
| Supported Llms | Gemini 3 Pro (High/Low), Claude Sonnet 4.5 (Thinking/Standard), GPT-OSS 120B, Ollama/Llama (local), Granite 4.0 | SWE-1.5, User-provided models |
| Custom Model | – | SWE-1.5 |
| 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 – $30/mo |
| Config File | .antigravityrc | .windsurfrc |
| Migration | Requires setup | Seamless |
Conclusion
Both Google Antigravity and Windsurf offer robust standalone tools with distinct features catering to different user needs. Google Antigravity excels in supporting a wide range of LLMs with a massive context window and local inference, whereas Windsurf provides flexibility with model choice and seamless migration, though it lacks local processing. Users should choose based on their specific requirements, such as the need for local inference or model flexibility.