Google Antigravity vs JetBrains AI Assistant
Google Antigravity is best for Agentic Workflows, while JetBrains AI Assistant targets JetBrains IDE Users. On our independent 100-point evaluation, Google Antigravity scores 92/100 vs JetBrains AI Assistant's 90/100 — a 2-point gap reflecting measurable differences across ten capability dimensions.
Google Antigravity
Quick Verdict
Google Antigravity focuses on Agentic Workflows and AI-Native Development and scores 92/100 in our independent evaluation. 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 focuses on JetBrains IDE Users and Enterprise Development and scores 90/100 in our independent evaluation. JetBrains AI Assistant leverages the deep IDE integration and powerful static analysis capabilities of JetBrains tools.
📊 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 |
|---|---|---|
| Entry Price | See pricing page | Free — Unlimited code completion |
| Pro Tier | — | $10/mo(Personal) or $20/mo (Commercial) AI Pro |
| Overall Score | 92/100 | 90/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | JetBrains IDE Users, Enterprise Development, Code Refactoring |
| Detailed Pricing | View Google Antigravity pricing | View JetBrains AI Assistant pricing |
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 |
|---|---|---|---|
| Overall Score | 92/100 | 90/100 | Google Antigravity |
| IDE Support | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports… | Fully integrated with the suite of JetBrains IDEs, including IntelliJ IDEA, PyCharm, WebStorm, CLion… | Tie |
| Founded | NaN | NaN | Tie |
| Community Channels | 2 channels | 3 channels | JetBrains AI Assistant |
Google Antigravity vs JetBrains AI Assistant: Data-Driven Comparison
This section is auto-generated from the underlying data in Google Antigravity's and JetBrains AI Assistant's published specifications — no marketing copy. Each row below contrasts a specific capability area using the fields we track in our scoring methodology.
Underlying AI models
Google Antigravity: 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 se… JetBrains AI Assistant: JetBrains AI Assistant uses a combination of models. It leverages its own proprietary LLM, Mellum, which is optimized for coding. It also pr…
Context window handling
Google Antigravity: Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. JetBrains AI Assistant: The assistant is deeply integrated into the IDE and is context-aware, using information from the current project, including language version…
Deployment & IDE footprint
Google Antigravity: Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. JetBrains AI Assistant: The AI Assistant is available as a plugin within JetBrains' commercial IDEs. For enterprise customers with strict data privacy needs, an on-…
Where each tool specializes
Google Antigravity targets Agentic Workflows and AI-Native Development. JetBrains AI Assistant targets JetBrains IDE Users and Enterprise Development. This divergence matters when matching a tool to a team's primary workflow.
Choose Google Antigravity when Agentic Workflows maps directly to your main workflow and the data points above lean in its favor.
Choose JetBrains AI Assistant when JetBrains IDE Users is the higher-priority capability for your team.
The Bottom Line
Google Antigravity and JetBrains AI Assistant each serve different needs. Google Antigravity scores higher (92/100 vs 90/100) and tends to excel in Agentic Workflows and AI-Native Development. The right pick depends on your workflow, team size, and technical constraints.
Choose Google Antigravity if: you prioritize Agentic Workflows and AI-Native Development and want the higher-rated option (92/100 vs 90/100).
Choose JetBrains AI Assistant if: you prioritize JetBrains IDE Users and Enterprise Development and accept a slightly lower headline score for its specialized fit.
Get the full comparison wallchart — scores, features, and decision guide in one printable PDF.
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