Google Antigravity vs Tabnine
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.
Tabnine
Quick Verdict
Tabnine excels at code completion and privacy-conscious development with a score of 86/100. Tabnine stands out for its privacy-first approach and highly personalized AI suggestions.
đ Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | Google Antigravity | Tabnine |
|---|---|---|
| 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. | Tabnine uses its own proprietary, private AI models for code completion and chat. It also allows users to switch to third-party models from providers like Anthropic (Claude), OpenAI (GPT), Cohere, and Mistral. |
| Context Window | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. | Tabnine is context-aware, analyzing your local IDE environment and project files to provide relevant suggestions. The Enterprise plan allows connecting to an organization's entire codebase (GitHub, GitLab, Bitbucket) for more deeply personalized, context-aware recommendations. |
| Deployment Options | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. | Tabnine offers flexible deployment. It is available as a secure multi-tenant SaaS for all users. For Enterprise customers, it offers fully private deployments on-premises, in a Virtual Private Cloud (VPC), or in a completely air-gapped environment. |
| Offline Mode | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. | Yes, Tabnine's AI can run locally on a developer's machine, on a server behind a firewall, or in the cloud, supporting offline use cases. |
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
Tabnine Features
- Personalized AI code completion
- Privacy-focused local processing
- Support for multiple programming languages
- Custom model training on your codebase
Pricing & Value Analysis
| Aspect | Google Antigravity | Tabnine |
|---|---|---|
| Pricing URL | View Google Antigravity Pricing | View Tabnine Pricing |
| Overall Score | 91/100 | 86/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | Code Completion, Privacy-conscious Development, Personalized AI |
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
Tabnine Excels At
- Personalized code completion that learns from your team's coding patterns and maintains consistency across projects
- Privacy-compliant AI assistance for enterprises with strict data security requirements and air-gapped environments
- Custom AI model training on proprietary codebases for domain-specific programming languages and frameworks
Performance & Integration
| Category | Google Antigravity | Tabnine | Winner |
|---|---|---|---|
| IDE Support | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. | Tabnine supports a wide range of IDEs, including VS Code, the JetBrains suite (IntelliJ, PyCharm, WebStorm, etc.), Visual Studio, Eclipse, and Neovim. | Tie |
| Community | Active community | Active community | Tie |
| Data Richness | Comprehensive | Comprehensive | Tie |
| Overall Score | 91/100 | 86/100 | Google Antigravity |
The Bottom Line
Both Google Antigravity and Tabnine are capable AI coding tools, but they serve different needs. Google Antigravity scores higher (91/100 vs 86/100) 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 Tabnine if: you prioritize code completion and privacy-conscious development and don't mind a slightly lower score for specialized features.