Google Antigravity vs Gemini
Google Antigravity
Quick Verdict
Google Antigravity excels at agentic workflows and ai-native development with a score of 91/100. Google Antigravity represents a paradigm shift in AI-assisted development, moving beyond code completion to full agentic automation.
Gemini
Quick Verdict
Gemini excels at google ecosystem and web development with a score of 83/100. Gemini shines within Google's ecosystem, especially for web development and cloud services.
đ Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | Google Antigravity | Gemini |
|---|---|---|
| Core AI Model(s) | Powered by Google's Gemini 3 Pro model as default, with support for Anthropic's Claude Sonnet 4.5 and OpenAI's GPT-OSS for flexible model selection. | Gemini is a family of multimodal models developed by Google DeepMind, including Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.0, and Gemini Nano. |
| Context Window | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. | The context window varies by model. For instance, Gemini 1.5 Pro supports a context window of up to 2 million tokens. |
| Deployment Options | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. | Gemini is primarily a cloud-based service available via its web interface and the Gemini API. An on-premises solution is becoming available through Google Distributed Cloud (GDC), which allows organizations to run Gemini models in their own data centers, including in air-gapped environments. |
| Offline Mode | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. | No, Gemini is a cloud-based service and requires an internet connection. The on-premise GDC deployment still requires the managed hardware solution and is not a standalone offline application. |
Core Features Comparison
Google Antigravity Features
- Agentic development with autonomous AI agents
- Dual interface: Editor View and Manager View
- Artifact transparency system for trust verification
- Multimodal capabilities (code, images, design mocks)
- Multi-model support (Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS)
- Self-improvement mechanism learning from user feedback
Gemini Features
- Export to Google Docs and Colab
- Integration with Google Workspace and services
- Multimodal understanding for diagrams and code
- Real-time web access for latest documentation
Pricing & Value Analysis
| Aspect | Google Antigravity | Gemini |
|---|---|---|
| Pricing URL | View Google Antigravity Pricing | View Gemini Pricing |
| Overall Score | 91/100 | 83/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | Google Ecosystem, Web Development, Documentation |
Best Use Cases
Google Antigravity Excels At
- Orchestrating multiple AI agents to work on different parts of a large codebase simultaneously
- End-to-end feature development from design mocks to implementation using multimodal AI
- Complex refactoring tasks with autonomous planning, execution, and validation by AI agents
Gemini Excels At
- Google Cloud development with integrated access to GCP documentation and best practices
- Web development projects with real-time access to the latest framework documentation and examples
- Educational content creation by exporting code explanations and tutorials to Google Docs and Colab
Performance & Integration
| Category | Google Antigravity | Gemini | Winner |
|---|---|---|---|
| IDE Support | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. | Google offers official Gemini extensions for VS Code and the JetBrains suite of IDEs. | Tie |
| Community | Active community | Active community | Tie |
| Data Richness | Comprehensive | Comprehensive | Tie |
| Overall Score | 91/100 | 83/100 | Google Antigravity |
The Bottom Line
Both Google Antigravity and Gemini are capable AI coding tools, but they serve different needs. Google Antigravity scores higher (91/100 vs 83/100) and excels in agentic workflows and ai-native development. The choice depends on your specific workflow, team size, and technical requirements.
Choose Google Antigravity if: you prioritize agentic workflows and ai-native development and want the higher-rated option (91/100).
Choose Gemini if: you prioritize google ecosystem and web development and don't mind a slightly lower score for specialized features.