Cursor vs Google Antigravity: Which AI Coding Tool for Your Team?

Cursor and Google Antigravity are two very different bets on how AI writes code. Cursor is a mature, paid AI editor that most teams already know. Google Antigravity is a new, agent-first platform that Google launched in November 2025 alongside Gemini 3 (Google Developers Blog).

Cursor puts an AI assistant inside a familiar VS Code-style editor. You stay in control of each edit. Google Antigravity flips that: it centers on an "Agent Manager" where you spawn and watch multiple agents work across the editor, terminal, and browser at once (Google Developers Blog).

TL;DR: Choose Cursor if you want a proven, billable tool with team admin controls and privacy mode you can roll out today. Choose Google Antigravity if you want to test Google's autonomous multi-agent workflow and you are comfortable on a free public preview. Antigravity is still early — verify its enterprise terms before you standardize on it.

Cursor vs. Google Antigravity: Side-by-Side

Quick Verdict: Cursor or Google Antigravity

For most teams standardizing today, Cursor is the safer choice. It is a paid, production-ready tool with the admin controls a business needs.

Google Antigravity is the more ambitious tool. It bets on autonomous agents doing whole tasks while you supervise. But it launched in November 2025 as a free public preview, so its enterprise terms are still young. Pilot it; do not bet a whole org on it yet.

• Want proven team controls today → Cursor
• Want to test Google's multi-agent workflow → Google Antigravity
• Need signed enterprise data terms now → Cursor
• Already deep in Google Cloud and Gemini → pilot Antigravity

How Each One Works

Cursor works like the editor your developers already use, with AI layered on top. It is a fork of VS Code, so extensions and keybindings feel familiar. The developer stays in the loop, approving edits and running the agent when they choose.

Google Antigravity is built around agents, not the editor. Its Agent Manager lets you "spawn, orchestrate, and observe multiple agents working asynchronously across different workspaces" (Google Developers Blog). Agents get direct access to the editor, terminal, and browser, and produce artifacts like task lists, plans, and screenshots so you can verify their work.

• Cursor: human-in-the-loop editor, you approve each change
• Antigravity: agent-first, you supervise autonomous runs
• Antigravity artifacts (plans, screenshots) aid verification
• Cursor fits teams that want tight control per edit

Models and Code Quality

Both tools run on frontier models, so raw capability is close. The difference is defaults and orchestration.

Cursor lets teams pick frontier models from Anthropic, OpenAI, and Google, and tune which model each seat uses. Google Antigravity leads with Gemini 3 Pro and adds "full support for Anthropic's Claude Sonnet 4.5 and OpenAI's GPT-OSS" (Google Developers Blog). If your team is committed to Gemini, Antigravity gives you the tightest Gemini integration.

• Cursor: broad model choice, per-seat tuning
• Antigravity: Gemini 3 Pro first, plus Claude and GPT-OSS
• Both reach frontier code quality on hard tasks
• Pick by model preference and orchestration style

Security, IP, and Data Handling

Cursor has the clearer security story for a business today. Its Teams plan includes a team-wide Privacy Mode, and with Privacy Mode on, your code is never used for training (Cursor). Enterprise adds SCIM, audit logs, and access controls for repos, models, and MCP.

Google Antigravity is a public preview, so treat its data terms as unsettled. Before you put proprietary code in it, confirm on Google's own pages how preview data is stored, retained, and whether it trains models. Do not assume enterprise-grade guarantees from a preview.

• Cursor: team Privacy Mode, no training when enabled
• Cursor Enterprise: SCIM, audit logs, access controls
• Antigravity: verify preview data + training terms first
• Never assume preview = enterprise-grade privacy

Pricing for Teams

Cursor is a paid tool with predictable per-seat pricing. As of July 2026, Cursor Pro is $20/month and the Teams plan is $40 per user per month, with model usage billed on top (Cursor). Plans can change, so confirm current rates before you budget.

Google Antigravity is "available today in public preview, at no cost for individuals" (Google Developers Blog). Free is attractive for a pilot, but free previews carry risk: terms, rate limits, and pricing can all change once it exits preview. Budget for the possibility that a paid tier arrives later.

• Cursor Pro: $20/mo; Teams: $40/user/mo (July 2026)
• Cursor: model usage billed on top of seat price
• Antigravity: free for individuals in public preview
• Free preview pricing and limits can change later

→ Compare per-token pricing for every AI model

Rolling It Out to a Team

Cursor is easier to roll out across an org right now. It offers centralized billing, SAML/OIDC SSO, and usage analytics, so IT and security teams can manage it like any other SaaS tool (Cursor).

Google Antigravity fits a pilot better than a full rollout today. Start with one team, a low-risk repo, and a clear review process for agent output. Because agents act autonomously, define what they may touch and require human review before anything merges.

• Cursor: SSO, central billing, analytics for IT
• Antigravity: start with a scoped pilot, not a full rollout
• Set human-review gates for autonomous agent output
• Restrict early agent access to low-risk repos

The Verdict

For a team choosing what to standardize on in 2026, Cursor is the lower-risk pick. It is a mature, paid AI editor with team-wide Privacy Mode, SSO, and enterprise controls you can deploy and govern today. Most engineering orgs can adopt it without waiting on unsettled terms.

Google Antigravity is the more forward-looking tool. Its agent-first design and Agent Manager point at where AI development is heading — multiple autonomous agents working in parallel while you supervise. But it launched as a free public preview in November 2025, so its enterprise and data terms are still maturing.

The pragmatic move: standardize on Cursor for daily work now, and run a scoped Antigravity pilot on a low-risk repo to learn the multi-agent workflow. Re-evaluate once Antigravity publishes signed enterprise pricing and data terms. Layer3 Labs can help you set up both the governance and the pilot.