Agentic AI Comparison:
Claude Code vs Google Antigravity
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Introduction
This report compares two advanced AI coding agents: Google Antigravity and Claude Code. Both represent cutting-edge approaches to AI-assisted development, with Antigravity leveraging Google's Gemini 3 Pro model for agent-driven automation and Claude Code utilizing Anthropic's Claude models for terminal-based agentic development. This analysis evaluates them across five critical dimensions: autonomy, ease of use, flexibility, cost, and popularity.
Overview
Claude Code
Claude Code, released in February 2025, excels at code analysis and technical writing with a score of 92/100. Operating as a terminal CLI agent, it provides deep codebase awareness using agentic search to understand entire project structures including million-line codebases without requiring manual file selection. Claude Code utilizes multiple Claude models (Opus 4, Sonnet 4, and Haiku 3.5) and offers a 200K token context window with support for extended reasoning. The interaction model emphasizes delegation with human checkpoints—you specify what to accomplish rather than detailed changes, allowing the agent to plan multi-step tasks autonomously.
Google Antigravity
Google Antigravity, launched in November 2025, represents a paradigm shift in AI-assisted development with its agent-first autonomous approach. It features dual working modes—Editor View for traditional IDE experience and Manager View for orchestrating multiple agents working simultaneously on different tasks. The platform supports multimodal capabilities including code, images, and design mocks, and can control browsers to verify work through screenshots and recordings. Powered by Gemini 3 Pro with support for alternative models like Claude Sonnet 4.5 and GPT-OSS, Antigravity operates as a standalone AI-native IDE.
Metrics Comparison
Autonomy
Claude Code: 8
Claude Code demonstrates high autonomy through terminal-based delegation with human checkpoints. It operates at a task-oriented level where developers specify objectives and the agent handles implementation with multi-step autonomous planning, execution, and problem-fixing. However, it requires review and approval before committing changes, creating deliberate control boundaries that reduce autonomy compared to fully autonomous agents.
Google Antigravity: 9
Antigravity achieves the highest autonomy level among competing tools. It enables agents to work independently across editor, terminal, and browser environments, orchestrating multiple agents simultaneously on different codebase sections. The platform's agentic capabilities extend to browser control and UI verification, eliminating dependency on external tools. Early benchmarks show 76.2% on SWE-bench Verified and 54.2% on Terminal-Bench 2.0.
Antigravity surpasses Claude Code in autonomy by enabling truly independent agent execution across multiple parallel tasks, while Claude Code maintains higher developer oversight through required review checkpoints. Antigravity's browser control capabilities add operational independence that Claude Code lacks.
Ease of Use
Claude Code: 8
Claude Code sits between full autonomy and hands-on control, offering an intuitive interaction model where developers describe objectives rather than detailed commands. Users report spending more time reviewing than coding, which many consider a feature rather than a bug for quality assurance. The terminal-first CLI approach is straightforward for developers comfortable with command-line interfaces, though less familiar to IDE-native developers.
Google Antigravity: 7
Google Antigravity provides two distinct working modes: Editor View offers familiar IDE experience similar to Cursor or GitHub Copilot, while Manager View serves as mission control for spawning and monitoring multiple agents. However, being a newer platform (November 2025), it remains in public preview with reported early-stage issues including errors and slow generation times. The dual-interface approach may introduce a steeper learning curve for developers accustomed to traditional IDE workflows.
Claude Code provides easier initial adoption for developers through its clear objective-based model, while Antigravity's dual interface requires understanding two distinct workflows. Antigravity's public preview status introduces additional complexity through early-stage bugs and performance inconsistencies.
Flexibility
Claude Code: 7
Claude Code demonstrates flexibility through multi-language programming support and long-context conversations about code. Its agentic search capability enables understanding of entire project structures, and the 200K token context window supports extended reasoning across complex tasks. However, it operates within Claude model constraints and doesn't support multimodal inputs or alternative model selection, limiting flexibility compared to Antigravity's multi-model approach.
Google Antigravity: 9
Antigravity offers exceptional flexibility through multimodal capabilities supporting code, images, and design mocks. Its multi-model support enables developers to switch between Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS depending on task requirements. The platform excels at end-to-end feature development from design mocks to implementation, and autonomous refactoring tasks with parallel agent orchestration. Browser control capabilities enable interaction with application UIs for verification and testing.
Antigravity significantly outpaces Claude Code in flexibility through multimodal support, multi-model selection, and cross-platform capabilities including browser interaction. Claude Code's flexibility is constrained to text-based code analysis and improvement within the Claude model ecosystem.
Cost
Claude Code: 6
Claude Code pricing operates on three tiers: free tier with basic access and limitations, pay-as-you-go token-based API pricing, and Pro plans with faster responses and higher context limits. Cost analysis indicates the same coding tasks cost approximately $8 with Claude Code, making it roughly 4x more expensive than Cursor for equivalent workloads. The extended context window and advanced reasoning capabilities justify premium pricing but reduce accessibility for cost-conscious development teams.
Google Antigravity: 8
Detailed pricing information for Google Antigravity is not publicly available in current documentation, as the platform remains in public preview following its November 2025 launch. However, being a Google Cloud-integrated service, it typically follows enterprise pricing models. The parallel agent execution capability may provide cost efficiency through task parallelization, allowing developers to accomplish more work simultaneously without proportional cost increases.
Without published pricing, Antigravity's cost efficiency cannot be definitively determined; however, token-based consumption models are common in enterprise AI services. Claude Code's known pricing demonstrates higher per-task costs due to its advanced models and extended context capabilities, making it more expensive than some alternatives for equivalent operations.
Popularity
Claude Code: 8
Claude Code has cultivated an active community following its February 2025 release, establishing itself as a preferred choice for developers prioritizing code quality and technical reasoning. The tool scores higher (92/100 vs 91/100 for Antigravity) in comparative evaluations and excels at complex code architecture design and legacy code modernization, attracting adoption from enterprises and technical teams. Developer reports consistently recognize Claude Code for superior code quality with approximately 30% fewer reworks compared to competitors.
Google Antigravity: 7
Google Antigravity demonstrates emerging popularity as Google's first major AI coding agent, launched in November 2025. The platform benefits from Google's brand recognition and integration with Google Cloud services. However, as a newly released public preview product, it lacks the established user base and community maturity of longer-standing tools. Early developer interest reflects the novelty of the agentic development paradigm, though sustained adoption remains to be determined.
Claude Code maintains higher current popularity through earlier market entry (February 2025), proven track record, and strong developer community engagement. Antigravity, despite backing from Google and representing innovative agentic paradigms, operates from a smaller user base as a newer product still establishing market presence in public preview.
Conclusions
Google Antigravity and Claude Code represent distinct philosophies in AI-assisted development. Antigravity prioritizes maximum autonomy and flexibility through agent orchestration, multimodal capabilities, and browser control, making it ideal for teams seeking truly autonomous end-to-end development with minimal human intervention. It scores highest in autonomy (9/10) and flexibility (9/10), positioning it as the choice for future-oriented development practices. Claude Code excels in code quality, offering superior reasoning capabilities through extended context windows and producing approximately 30% fewer reworks than competing tools. With higher ease-of-use (8/10) and popularity (8/10) scores, it appeals to developers prioritizing code correctness and review-based workflows. Cost-wise, Claude Code's transparent pricing reflects premium positioning, while Antigravity's pricing remains undisclosed pending full release. For enterprise deployments, Claude Code currently offers superior compliance readiness with SOC 2 certification and mature SSO support, while Antigravity requires additional development for regulated industry adoption. The optimal choice depends on priorities: select Antigravity for maximum autonomy, multimodal capability, and parallel task execution; select Claude Code for code quality, comprehensive context understanding, and proven enterprise reliability.