ChatGPT vs Google Antigravity
Detailed comparison of features, performance, and use cases
85/100
ChatGPT
OpenAI's conversational AI that excels at code generation, debugging, and technical explanations.
Quick Verdict
ChatGPT excels at code generation and learning & education with a score of 85/100. ChatGPT's conversational interface makes it exceptionally accessible for developers of all skill levels.
91/100
Google Antigravity
Google's revolutionary AI-powered IDE that enables autonomous AI agents to handle complex coding tasks through an agent-first approach with dual interface views.
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.
đ Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | ChatGPT | Google Antigravity |
|---|---|---|
| Core AI Model(s) | ChatGPT utilizes a range of OpenAI's models, including the GPT-4 series (GPT-4o, GPT-4.1) and the o-series for reasoning (o1, o3, o4-mini). The specific model used can vary based on the user's subscription plan (Free, Plus, Pro, Enterprise) and the selected mode. | 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. |
| Context Window | The context window varies significantly by model and subscription tier. API and Enterprise users can access up to a 128k or 200k token context window with models like GPT-4o and o3. However, for users of the standard ChatGPT Plus web interface, the effective context window is often smaller (around 32k tokens), with larger documents being handled via Retrieval-Augmented Generation (RAG). | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. |
| Deployment Options | ChatGPT is primarily a cloud-based SaaS application. While a full on-premise deployment of ChatGPT is not offered, businesses can use the OpenAI API to integrate the models into their own applications. For enterprises with strict privacy needs, solutions like Azure OpenAI or third-party platforms enable private cloud or on-premise knowledge stores that can connect to OpenAI's models. | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. |
| Offline Mode | No, ChatGPT requires a constant internet connection to function as it is a cloud-based service. There are open-source, third-party applications that allow users to run different, smaller language models offline, but these are not the official ChatGPT models. | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. |
Core Features Comparison
ChatGPT Features
- Conversational code assistance and debugging
- Code generation from natural language descriptions
- Multi-language programming support
- Code explanation and learning assistance
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
Pricing & Value Analysis
| Aspect | ChatGPT | Google Antigravity |
|---|---|---|
| Pricing URL | View ChatGPT Pricing | View Google Antigravity Pricing |
| Overall Score | 85/100 | 91/100 |
| Best For | Code Generation, Learning & Education, Problem Solving | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration |
Best Use Cases
ChatGPT Excels At
- Data analysis and visualization with code interpreter capabilities for processing files and generating charts
- Learning new programming concepts through interactive coding sessions and detailed explanations
- Rapid prototyping and algorithm development by converting natural language requirements into working code
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
Performance & Integration
| Category | ChatGPT | Google Antigravity | Winner |
|---|---|---|---|
| IDE Support | ChatGPT does not have an official, first-party IDE extension. However, its functionality is widely integrated into numerous IDEs (like VS Code, JetBrains, etc.) through third-party extensions that utilize the OpenAI API. | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. | Tie |
| Community | Active community | Active community | Tie |
| Data Richness | Comprehensive | Comprehensive | Tie |
| Overall Score | 85/100 | 91/100 | Google Antigravity |
The Bottom Line
Both ChatGPT and Google Antigravity are capable AI coding tools, but they serve different needs. Google Antigravity scores higher (91/100 vs 85/100) and excels in agentic workflows and ai-native development. The choice depends on your specific workflow, team size, and technical requirements.
Choose ChatGPT if: you prioritize code generation and learning & education and don't mind a slightly lower score for specialized features.
Choose Google Antigravity if: you prioritize agentic workflows and ai-native development and want the higher-rated option (91/100).