Antigravity vs Cursor: The Agent-First Showdown

Why this matters

For the past two years, Cursor owned the AI IDE conversation. Then Google shipped Antigravity — an agent-first IDE built around Gemini 3 Pro, parallel agent workspaces, and a browser sub-agent that can actually see your running app. The question isn't which one has more features. It's which mental model matches how you want to work.

This comparison goes beyond spec sheets. If you want context on what Cursor can do on its own, read the Cursor 2026 features guide first. Then come back here for the head-to-head.

The setup

Cursor is a VS Code fork — install, import settings, index your project, done. Familiar environment with AI layered on top. Interaction model is collaborative: you stay in the loop at each step.

Antigravity is a standalone IDE built for agentic workflows. Sign in with Gmail at antigravity.google. The UI centers on an Agent Manager rather than a file tree — your primary view is what agents are doing.

Pricing: Antigravity is free in public preview (with rate limits), $20/month Pro, $250/month Ultra. Cursor is $20/month Pro, $40/user/month Business. For cost-to-start, Antigravity wins today — that could change post-preview.

Step 1: Compare the agent surface

This is where the philosophies diverge most sharply.

Cursor agent mode runs in-session: one agent, one task, executing in the foreground (or as a Background Agent in a separate thread since Cursor 3). The agent reads files, writes code, runs terminal commands, reads stdout, and loops until done. You get a diff at the end. Solid, predictable, production-tested.

# Cursor Agent prompt — goal-oriented works best
Migrate all database queries from raw SQL to Drizzle ORM.
Run tests after each file. Fix failures before moving on.
Don't touch the migration files.

Antigravity's Gravity Mode runs up to five agents in parallel, each in its own isolated workspace. One agent refactors auth, another builds a UI component, a third writes integration tests — simultaneously. When each finishes, it surfaces a diff and test results as an Artifact in the Agent Manager panel.

# Antigravity Agent prompt — works well split across agents
Agent 1: Refactor /src/auth — extract session logic to a service layer
Agent 2: Build <UserProfileCard /> with Tailwind, mobile-first
Agent 3: Write integration tests for the checkout flow in /tests/checkout

Early benchmarks put Antigravity's task completion rate at 72% on first attempt vs Cursor Composer at 64%. That gap is real but context-dependent — Cursor performs stronger on large, established codebases where its semantic index and rules system are fully loaded.

Step 2: Compare model access and context

Cursor defaults to its proprietary Composer 2 model (fast, high code quota on Pro plans), with options for Claude Opus 4.6, GPT-5, and others. Model selection is per-session in the composer panel. Cursor's context window is capped at 200K tokens in practice — large enough for most single-feature work, but you won't load a full monorepo into memory.

Antigravity ships Gemini 3 Pro as the primary model with a claimed 1M token context window — the largest context in any IDE as of mid-2026. In practice, effective context sits closer to 200-400K before degradation, but the ceiling is still meaningfully higher. Antigravity also supports Claude Sonnet 4.5 (not Opus) and GPT-OSS models on paid tiers, giving you model optionality without leaving the IDE.

The Gemini 3 Pro default matters for one specific use case: asking cross-cutting questions across a full repo. "Where do we mutate user state directly?" across 50 files is a Gemini-native workflow.

# Antigravity — large-context repo query
@repo: full-codebase
Map every place user.subscription_status is mutated directly
(not through subscriptionService). Return file paths and line numbers.

For model flexibility, Antigravity leads. For hard reasoning, Claude Opus 4.6 in Cursor has an edge — Antigravity's Claude support tops out at Sonnet, not Opus.

Step 3: Compare ecosystem and extensibility

Cursor has two powerful extensibility mechanisms: Rules files and MCP integrations.

Rules files (.cursor/rules/*.mdc) inject persistent project context into every agent session — your conventions, stack choices, constraints. They're version-controlled and composable. This is Cursor's most underrated feature: an agent that always knows your project's rules performs significantly better than one starting cold.

MCP (Model Context Protocol) lets Cursor's agent call external tools — query your database, read Sentry errors, pull Linear tickets — mid-task. The MCP ecosystem has matured fast; hundreds of servers exist for common tools.

Antigravity has no MCP support as of mid-2026. This is its biggest gap — no database queries, no issue tracker integration, no custom tool calls mid-task. What it does have is a Browser Sub-Agent: an embedded Chromium instance the agent can control using Gemini's vision capabilities. It can open your app, click around, read the DOM, and check the console — something Cursor can't do natively.

# Antigravity browser agent task
Open localhost:3000/dashboard in the browser agent.
Click Settings and list what form fields are visible.
Report any console errors.

For custom internal tooling, Cursor + MCP wins. For automated visual QA, Antigravity's browser sub-agent has no equivalent in Cursor.

One more practical gap: Cursor inherits your full VS Code extension library. Antigravity is a custom IDE — extension support is limited to what Google ships.

Step 4: Pick by workflow

Choose Cursor if you're working on an established codebase, MCP integrations matter (databases, issue trackers, custom tools), you want human-in-the-loop diffs, or you need Claude Opus 4.6 for hard reasoning.

Choose Antigravity if you want parallel independent tasks, large-context repo analysis, browser-driven visual QA, or you're bootstrapping and the free preview pricing matters.

Use both if you're vibecoding at scale: Antigravity for exploration and parallel greenfield work; Cursor for the production pass where rules files, MCP context, and tight diffs matter.

Common mistakes

Treating Antigravity agents like Cursor tasks. Antigravity shines on genuinely parallel, loosely coupled work. Feeding a single sequential task through five agents just adds coordination overhead.

Skipping rules files in Cursor. Without them, every agent session starts cold. Prompting patterns for code explains why rules files are the highest-leverage thing most Cursor users aren't doing.

Assuming 1M context = 1M useful context. Antigravity's window degrades past ~400K tokens in practice. Broad-strokes analysis is fine; surgical edits across a full monorepo aren't.

Ignoring Antigravity's quota cuts. Google trimmed quotas significantly in early 2026 — one report clocked a 92% reduction from preview peaks. Don't build a workflow that depends on current free-tier generosity holding.

What's next

Both tools are moving fast. Antigravity has MCP support on its 2026 roadmap — when it ships, the comparison will look materially different. For now: Cursor leads on ecosystem depth, Antigravity leads on autonomy ceiling and cost-to-start.

For a deeper Cursor dive, the Cursor 2026 features guide covers every mode and shortcut. Choosing between more agent IDEs? Cursor vs Windsurf 2026 rounds out the picture.