Google Antigravity vs JetBrains AI Assistant
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.
JetBrains AI Assistant
Quick Verdict
JetBrains AI Assistant excels at jetbrains ide users and enterprise development with a score of 90/100. JetBrains AI Assistant leverages the deep IDE integration and powerful static analysis capabilities of JetBrains tools.
đ Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | Google Antigravity | JetBrains AI Assistant |
|---|---|---|
| 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. | JetBrains AI Assistant uses a combination of models. It leverages its own proprietary LLM, Mellum, which is optimized for coding. It also provides access to third-party cloud models from providers like OpenAI, Google (Gemini 2.5 Pro), and Anthropic (Claude 3.7 Sonnet). |
| Context Window | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. | The assistant is deeply integrated into the IDE and is context-aware, using information from the current project, including language versions, libraries, and related files, to generate more accurate prompts and suggestions. |
| Deployment Options | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. | The AI Assistant is available as a plugin within JetBrains' commercial IDEs. For enterprise customers with strict data privacy needs, an on-premises solution is available through IDE Services, which can run in an air-gapped environment using local models like Llama 3.1 via Hugging Face. |
| Offline Mode | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. | Yes, JetBrains AI Assistant supports an offline mode. Users can connect to locally hosted models through tools like Ollama or LM Studio, allowing most AI features to function without an internet connection. However, some advanced features like multi-file edits are not available in offline mode. |
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
JetBrains AI Assistant Features
- Context-aware code completion within JetBrains IDEs
- Code explanation and documentation generation
- Refactoring suggestions based on best practices
- Integration with JetBrains' powerful development tools
Pricing & Value Analysis
| Aspect | Google Antigravity | JetBrains AI Assistant |
|---|---|---|
| Pricing URL | View Google Antigravity Pricing | View JetBrains AI Assistant Pricing |
| Overall Score | 91/100 | 90/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | JetBrains IDE Users, Enterprise Development, Code Refactoring |
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
JetBrains AI Assistant Excels At
- Automated commit message generation based on code changes and project context
- Complex refactoring operations with AI understanding of code dependencies and design patterns
- Code explanation and documentation for team knowledge sharing and onboarding new developers
Performance & Integration
| Category | Google Antigravity | JetBrains AI Assistant | Winner |
|---|---|---|---|
| IDE Support | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. | Fully integrated with the suite of JetBrains IDEs, including IntelliJ IDEA, PyCharm, WebStorm, CLion, ReSharper, and others. | Tie |
| Community | Active community | Active community | Tie |
| Data Richness | Comprehensive | Comprehensive | Tie |
| Overall Score | 91/100 | 90/100 | Google Antigravity |
The Bottom Line
Both Google Antigravity and JetBrains AI Assistant are capable AI coding tools, but they serve different needs. Google Antigravity scores higher (91/100 vs 90/100) 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 JetBrains AI Assistant if: you prioritize jetbrains ide users and enterprise development and don't mind a slightly lower score for specialized features.