Cursor vs Google Antigravity
Compare Cursor and Google Antigravity by workflow, pricing, privacy, model support, and best use cases.
Details checked Aug 29, 2026
Cursor
Cursor remains a leading AI-first editor, but its 2026 trajectory is broader: Origin, cloud agents, isolated subagents, live previews, and start-from-scratch creation now make it a coding platform rather than only an editor.
Google Antigravity
Choose Google Antigravity when you want a Gemini-native, agent-first development platform that can coordinate multiple agents across editor, terminal, browser, desktop, CLI, SDK, and Google Cloud workflows. Use a more local, open-source, or provider-neutral agent if model independence, local execution, or minimal platform coupling matters more.
Key Differences
Workflow
Cursor is an AI coding and cloud development platform that combines a VS Code-based editor, local and cloud agents, CLI workflows, Origin code hosting, repository collaboration, and prompt-to-app creation.
Google Antigravity is an agent-first AI development platform that combines a desktop agent manager, IDE, CLI, SDK, and Google ecosystem integrations for task-oriented software development.
Editor base
VS Code
Standalone
BYOK
Yes
No
Feature Comparison
| Feature | Cursor | Google Antigravity |
|---|---|---|
| Primary workflow | Cursor is an AI coding and cloud development platform that combines a VS Code-based editor, local and cloud agents, CLI workflows, Origin code hosting, repository collaboration, and prompt-to-app creation. | Google Antigravity is an agent-first AI development platform that combines a desktop agent manager, IDE, CLI, SDK, and Google ecosystem integrations for task-oriented software development. |
| Type | AI IDEs / AI Code Editors | AI IDEs / AI Code Editors |
| Editor base | VS Code | Standalone |
| Pricing model | Freemium | Freemium |
| Starting price | $20 | $0 |
| Free plan | Yes | Yes |
| Open source | No | No |
| Local models | No | No |
| BYOK | Yes | No |
| Platforms | macOS, Windows, Linux | macOS, Windows, Linux, Desktop app, Antigravity IDE, Antigravity CLI, Antigravity SDK, Google AI Studio, Firebase, Google Cloud, Android developer workflows |
| Models | OpenAI, Anthropic, Google, Azure, AWS Bedrock | Gemini 3.5 Flash, Gemini 3.1 Pro, Gemini 3 Pro, Gemini 3 Flash, Claude Sonnet 4.6, Claude Opus 4.6, gpt-oss-120b |
| Enterprise features | Centralized team billing, Admin dashboard, Usage analytics, Team-wide privacy mode, SAML/OIDC SSO, SCIM seat management, Repository access controls, Model access controls, MCP access controls, Audit logs, Service accounts, AI code tracking API, Priority support | Gemini Enterprise Agent Platform integration, Google Cloud project connection, Enterprise workload support through Google Cloud terms, Managed agent infrastructure via Gemini API, Persistent isolated environments through Managed Agents, Google Cloud and Firebase integrations, Project-level security settings, MCP integration for enterprise tools, SDK for custom agent behaviors, Scheduled background automation |
| Best for | Developers who want an AI-first editor without leaving the VS Code-style workflow., Teams working in medium to large codebases where repository context matters., Builders who use AI for refactoring, feature implementation, debugging, tests, and code review support., Organizations that need admin controls, SSO, usage analytics, and privacy settings. | Developers who want an agent-first IDE, Multi-agent coding workflows, Parallel background development tasks, Large feature implementation with review artifacts, UI changes that need screenshots or browser recordings, Firebase and Google Cloud projects, Android app prototyping, Google AI Studio to local development handoff, Teams exploring task-oriented agent orchestration, Developers who want Gemini-native coding agents |
| Not best for | Developers who require a fully open-source editor., Teams that need all inference to stay strictly local by default., Users who only want lightweight autocomplete and do not need agentic workflows., Organizations that cannot allow code context to pass through a vendor-managed backend. | Users who want a fully open-source coding agent, Developers who require local model execution, Teams that need provider-neutral BYOK model routing, Workflows where agents cannot access terminal, browser, or file tools, High-risk production repositories without backups and review gates, Developers who only need lightweight inline autocomplete |
Use Case Winners
Cursor is built around a VS Code editor workflow.
Cursor has BYOK or model-routing flexibility.
Cursor lists more team or enterprise controls.
Pricing Comparison
Cursor
- Hobby$0 / month
Free plan with limited Agent requests and limited Tab completions.
- Pro$20 / month
Individual plan with extended Agent limits, frontier model access, MCPs, skills, hooks, and cloud agents.
- Teams$40 / user/month
Team plan with centralized billing, admin controls, usage analytics, team privacy mode, SAML/OIDC SSO, and team marketplace.
- EnterpriseCustom
Custom plan with pooled usage, invoice billing, SCIM, repository/model/MCP controls, audit logs, service accounts, and priority support.
Google Antigravity
- Individual$0 / month
Free individual access with baseline Gemini model quota, unlimited tab completions, unlimited command requests, and basic weekly rate limits.
- Google AI Pro$19.99 / month
Google AI plan with higher Antigravity quota than the free individual baseline, subject to Google AI plan limits.
- Google AI Ultra$100+ / month
Higher-usage Google AI tier with expanded Antigravity quota and access to third-party models where available.
- Gemini Enterprise / Google CloudCustom
Enterprise access through Google Cloud and Gemini Enterprise Agent Platform terms, with project-level integration and organization workflows.
Privacy & Security
Cursor
Cursor offers Privacy Mode, which is intended to prevent code from being used for training and to enable zero-data-retention behavior with model providers. Cursor also states that BYOK requests still go through Cursor backend for final prompt building, and codebase indexing may upload code chunks to compute embeddings.
Google Antigravity
Antigravity can process prompts, codebase context, file contents, terminal output, browser activity, tool calls, artifacts, and project metadata to operate its agents. Individual use is tied to Google account terms, while team and enterprise use may fall under Google Cloud or Gemini Enterprise terms. Users should configure sandbox mode, strict mode, file access policies, browser allowlists or denylists, project isolation, backups, and approval gates before allowing agents to run commands or modify important repositories.
Choose Cursor if...
- Developers who want an AI-first editor without leaving the VS Code-style workflow.
- Teams working in medium to large codebases where repository context matters.
- Builders who use AI for refactoring, feature implementation, debugging, tests, and code review support.
- Organizations that need admin controls, SSO, usage analytics, and privacy settings.
Choose Google Antigravity if...
- Developers who want an agent-first IDE
- Multi-agent coding workflows
- Parallel background development tasks
- Large feature implementation with review artifacts
- UI changes that need screenshots or browser recordings
Avoid Cursor if...
- Developers who require a fully open-source editor.
- Teams that need all inference to stay strictly local by default.
- Users who only want lightweight autocomplete and do not need agentic workflows.
- Organizations that cannot allow code context to pass through a vendor-managed backend.
Avoid Google Antigravity if...
- Users who want a fully open-source coding agent
- Developers who require local model execution
- Teams that need provider-neutral BYOK model routing
- Workflows where agents cannot access terminal, browser, or file tools
- High-risk production repositories without backups and review gates