Setup and context
In 2026, the AI coding IDE landscape is more competitive than ever. Google's Antigravity and the well-established Cursor both embrace the idea of collaborating with AI agents to write software — but their philosophies and architectures are quite different.
In this article, we compare Antigravity and Cursor across features, pricing, agent capabilities, and ecosystem support to help you decide which IDE fits your development style.
At a Glance
| Item | Antigravity | Cursor |
|---|---|---|
| Base | VS Code fork (possibly via Windsurf) | VS Code fork |
| Developer | Anysphere | |
| Released | November 2025 (alongside Gemini 3) | 2023 |
| Primary AI Models | Gemini 3.1 Pro / Gemini 3 Flash | Claude Sonnet / GPT-4o |
| Pricing (Individual) | Free (Public Preview) | Free tier + Pro $20/mo |
| Platforms | macOS / Windows / Linux | macOS / Windows / Linux |
Editor Experience
Antigravity: The Manager View Sets It Apart
Antigravity's most distinctive feature is its two primary views: Editor View and Manager View.
Editor View is a familiar VS Code-like interface with an agent sidebar — you can code normally while asking the AI to refactor, fix bugs, or explain code snippets.
Manager View is a control center for orchestrating multiple agents working in parallel across different workspaces. You can have one agent refactoring the backend API while another splits React components — and track each agent's progress through Artifacts (tangible deliverables like diffs, task lists, and test results).
# Conceptual example of spawning parallel agents in Manager View
agent start --task "Refactor backend API" --model gemini-3.1-pro
agent start --task "Split React components" --model claude-sonnet-4-6Cursor: Tab Completion and Context Awareness
Cursor has earned its reputation through highly accurate Tab completion. As you type, it predicts your next move with impressive precision, making it feel like a natural extension of your thought process.
The .cursorrules system for injecting project-wide context into the agent is mature, and Cursor has a strong track record in large, complex codebases.
Agent Capabilities
Antigravity: Async Agents Are the Star
Antigravity's agents are built around asynchronous execution. You can spawn an agent to handle a background task and continue working on something else — when it finishes, you get a diff and test results as Artifacts.
The Planning Mode vs Fast Mode distinction is powerful:
- Planning Mode: The agent externalizes its reasoning as Artifacts (task lists, walkthroughs). You can intervene at key decision points before it proceeds.
- Fast Mode: Ideal for quick, low-risk tasks. Executes immediately without pause.
Cursor: Composer for Multi-File Edits
Cursor's Composer can generate changes spanning multiple files in a single interaction. However, the concept of "parallel, asynchronous agents" found in Antigravity's Manager View is limited in Cursor — it skews more toward interactive, synchronous collaborative coding.
AI Model Flexibility
Antigravity centers on Gemini 3.1 Pro but also supports Claude Sonnet 4.6 / Claude Opus 4.6 and GPT-OSS-120B, and lets you assign different models to different agents.
# Conceptual agent-to-model assignment
Agent A: Gemini 3.1 Pro → Architecture planning
Agent B: Claude Sonnet 4.6 → Code implementation
Agent C: Gemini 3 Flash → Unit test generation
Cursor also lets you switch between Claude Sonnet and GPT-4o, but per-agent model assignment is more flexible in Antigravity.
Pricing Comparison
Antigravity (as of March 2026)
Currently completely free in Public Preview, with rate-limited access to Gemini 3.1 Pro included at no cost.
Anticipated future tiers:
- Individual: Free (rate-limited)
- Pro: ~$20/month (higher limits, priority access)
- Enterprise: ~$40–60/user/month (SSO, data residency, admin controls)
Cursor
- Free: 500 autocomplete uses/month + 50 slow requests/week
- Pro ($20/mo): Unlimited autocomplete + 500 fast requests/month
- Business ($40/mo): Team management, SSO, usage analytics
Right now, Antigravity is free — a massive cost advantage for individual developers and small teams.
Feature Comparison
| Feature | Antigravity | Cursor |
|---|---|---|
| Async parallel agents | ✅ | ❌ |
| Manager View (multi-agent orchestration) | ✅ | ❌ |
| Artifacts (agent output visualization) | ✅ | △ (diffs only) |
| Tab completion quality | △ | ✅ |
| Rules file (AGENTS.md / .cursorrules) | ✅ | ✅ |
| MCP support | ❌ (not yet) | ✅ |
| Local model support | ❌ | △ (limited) |
| VS Code extension compatibility | ✅ | ✅ |
| Web search agent | ✅ | △ |
| Free plan value | ✅✅ | △ |
Which Tool Fits Your Use Case?
Choose Antigravity if you:
- Want to run multiple agents in parallel to tackle large tasks autonomously
- Are building in the Google ecosystem (Firebase, Google Cloud, Gemini API)
- Are an individual developer who wants to minimize costs (it's free)
- Value Artifacts — seeing the agent's reasoning before it acts
Choose Cursor if you:
- Rely on MCP server integrations (Antigravity doesn't support MCP yet)
- Prioritize Tab completion quality in your daily coding flow
- Have an existing team workflow built on Cursor (.cursorrules, etc.)
- Need proven performance on large, complex codebases
Or use both
A hybrid approach works well: use Cursor for day-to-day coding assistance, and switch to Antigravity's Manager View when you have a larger refactoring session or new feature to build autonomously.
Conclusion
Google Antigravity and Cursor share the "AI IDE" label, but they come from fundamentally different philosophies. Antigravity maximizes agent autonomy and parallel execution, while Cursor refines tight developer-AI collaboration.
In 2026, Antigravity's completely free Public Preview status gives it a strong edge. Once limitations like MCP support are addressed, expect a wave of developers to make the switch. Now is a great time to experience Antigravity's asynchronous agent workflow firsthand.