Google Antigravity vs Gemini CLI
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 CLI
Quick Verdict
Gemini CLI excels at terminal-first workflows and free ai coding with a score of 86/100. Gemini CLI democratizes AI-assisted terminal workflows with a generous free tier that rivals paid alternatives.
📊 Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | Google Antigravity | Gemini CLI |
|---|---|---|
| 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 3 Pro (most intelligent, 1M context), Gemini 3 Flash (fast, 78% SWE-bench). Configurable model selection. |
| Context Window | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. | 1M tokens with Gemini 3 Pro for massive codebase understanding. |
| Deployment Options | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. | npm install -g @google/gemini-cli. Open-source for self-hosting and modification. |
| Offline Mode | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. | Cloud-based, requires internet for model inference. Local tools can execute offline. |
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 CLI Features
- Free tier: 60 requests/min, 1000 requests/day with personal Google account
- Gemini 3 Pro and Flash models with 1M token context
- Built-in tools: Google Search grounding, file ops, shell commands, web fetch
- MCP (Model Context Protocol) for custom integrations
- ReAct loop for complex multi-step reasoning
- Open-source under Apache 2.0 license
- VS Code Gemini Code Assist integration
Pricing & Value Analysis
| Aspect | Google Antigravity | Gemini CLI |
|---|---|---|
| Pricing URL | View Google Antigravity Pricing | View Gemini CLI Pricing |
| Overall Score | 91/100 | 86/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | Terminal-First Workflows, Free AI Coding, Google Ecosystem Integration, Extensible Automation, Large Context Tasks |
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 CLI Excels At
- Free AI coding assistance with generous rate limits for individual developers and small teams
- Large codebase understanding with 1M token context—analyze entire repositories without truncation
- Extensible automation by connecting Figma, Stripe, Datadog, and other tools via MCP integrations
Performance & Integration
| Category | Google Antigravity | Gemini CLI | Winner |
|---|---|---|---|
| IDE Support | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. | Terminal-native, IDE-agnostic. VS Code integration via Gemini Code Assist. | 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 Gemini CLI 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 Gemini CLI if: you prioritize terminal-first workflows and free ai coding and don't mind a slightly lower score for specialized features.