Two names keep coming up in every serious conversation about AI-assisted coding right now: Cursor and Google Antigravity. Both promise to let you build faster with AI agents doing real work, not just autocomplete. But they take genuinely different paths to get there.
If you're deciding where to spend your subscription budget, this comparison walks through what each tool actually does, what it costs, where it shines, and where it stumbles. No fluff, just the details that matter before you commit.
The Quick Answer
Short on time? Here's the summary before the deep dive.
- Cursor is the mature, stable choice for developers working on real, existing codebases who want reliable AI assistance inside a familiar VS Code-style editor
- Antigravity is the ambitious, newer challenger built by Google for agent-first, greenfield projects, with tight integration into Google's own ecosystem
- Cursor wins on stability, predictability, and working with established projects
- Antigravity wins on raw ambition, browser-based testing, and multi-agent orchestration for brand-new builds
- Pricing is close on paper but very different in practice once you factor in usage patterns
Now let's break down exactly why.
What Each Tool Actually Is
Cursor: The AI-First Editor Built on VS Code
Cursor started in 2023 as a fork of VS Code with AI woven directly into the experience. Since then, it has grown into a full agent workbench.
Its core building blocks include:
- Tab, a predictive autocomplete that understands your whole repository
- Composer, Cursor's own fast, in-house coding model
- Agent Mode, which edits multiple files, runs terminal commands, and fixes its own errors
- Background and Cloud Agents that work asynchronously in sandboxed environments
- BugBot, an automated code reviewer for pull requests
- MCP support for connecting to databases and internal tools
By 2026, Anysphere (the company behind Cursor) had crossed over a million paying subscribers and more than $2 billion in annualized revenue. Companies like Stripe, OpenAI, Figma, and Adobe use it internally.
Antigravity: Google's Agent-First Answer to Cursor
Google launched Antigravity in November 2025 as a direct response to tools like Cursor. It was originally a heavily modified fork of VS Code, and there's ongoing debate in the developer community about whether it's actually built on Windsurf's codebase underneath.
In May 2026, Google relaunched it as Antigravity 2.0 at Google I/O, and the shift was significant. The product moved from being "an editor with AI" toward being a standalone platform for managing teams of AI agents. The editor is still there, but it's no longer the centerpiece.
Antigravity 2.0 now includes:
- A redesigned desktop app built around multi-agent orchestration
- A new Antigravity CLI, built in Go, replacing the older Gemini CLI entirely
- A developer SDK for building custom agent workflows
- A Managed Agents tier inside the Gemini API
- Deep integration with Google AI Studio, Firebase, Android, and Google Workspace apps like Sheets and Docs
It's powered primarily by Google's Gemini models, including the newly launched Gemini 3.5 Flash, though it also supports Claude Sonnet 4.6 and Claude Opus 4.6, along with an open-source GPT-OSS variant.
The Defining Feature Difference: Browser Testing
This is the single biggest technical differentiator between the two tools, and it's worth understanding before anything else.
Antigravity includes what's called a Browser Subagent. It spins up a real Chrome instance and actually uses the application it just built, clicking buttons, filling out forms, taking screenshots, and reporting back what it finds. If something's broken, the agent sees it happen in the browser, debugs it, and fixes it without you ever opening DevTools yourself.
Cursor doesn't have a direct equivalent built into the core product. Its strength is different: deep, precise understanding of your existing codebase and how files relate to one another, which matters enormously when you're not starting from a blank slate.
Put simply:
- Antigravity is stronger at verifying that what it built actually works in a live browser
- Cursor is stronger at understanding how new code fits into a codebase that already has history, structure, and conventions
Agent Architecture: One Powerful Agent vs a Team of Agents
Cursor's Agent Mode works primarily as a single, focused agent per task. You describe what you want, it searches your codebase, makes the edits, runs commands, and presents a diff for your review. You can run multiple agents in parallel using Background Agents, but each one operates somewhat independently.
Antigravity leans harder into true multi-agent orchestration. With the 2.0 desktop app, you can:
- Run several agents simultaneously on different parts of a task
- Spin up subagents to split a single job into smaller pieces
- Schedule tasks to run automatically in the background
- Design custom subagent workflows through the SDK
Antigravity also introduced something called Artifacts, which are meant to solve a real trust problem in agentic coding. Instead of the agent just quietly making file edits and running shell commands, it produces verifiable deliverables: task lists showing what it plans to do before doing it, diffs, screenshots, and recordings you can actually review.
Cursor's equivalent trust mechanism is its diff-based review system combined with Rules, a version-controlled way to define exactly how the AI should behave in your project, plus Hooks for scriptable guardrails around what the agent is allowed to touch.
Both approaches solve the same underlying problem, AI agents doing unreviewed work you don't trust, but they solve it differently:
- Cursor gives you granular, per-file control through diffs and pre-set behavioral rules
- Antigravity gives you upfront visibility into the agent's plan before execution, plus visual proof of testing
Model Access: Who Gives You More Choice
Cursor has always positioned itself as model-agnostic. Inside the editor, you can pick from Claude, GPT-class models, Gemini, and Cursor's own Composer models, switching depending on the task's complexity.
Antigravity is primarily built around Google's own Gemini models, but it also supports Claude Sonnet 4.6 and Claude Opus 4.6. Interestingly, Antigravity picks up your project's existing CLAUDE.md file automatically when an agent uses a Claude model, the same context file Claude Code uses. That's a meaningful interoperability detail if you're already using Claude Code alongside either tool.
The practical difference:
- Cursor treats model choice as a first-class feature, letting you route different tasks to different models deliberately
- Antigravity defaults you toward Gemini, particularly the new Gemini 3.5 Flash, which Google says runs four times faster than other frontier models while outperforming Gemini 3.1 Pro on most benchmarks
If model flexibility matters a lot to your workflow, Cursor currently has the edge. If you want Google's fastest model tightly integrated by default, Antigravity delivers that out of the box.
Pricing Breakdown: What You'll Actually Pay
Pricing on both tools has shifted more than once in the past year, so here's where things stand now.
Cursor Pricing
- Hobby (Free): Limited Tab completions and Agent requests, no credit card required
- Pro ($20/month, ~$16/month billed annually): Unlimited Tab completions plus a monthly credit pool equal to the plan price for premium model usage
- Pro+ ($60/month): A larger credit pool for heavier users
- Ultra ($200/month): Built for power users running multiple agents daily
- Teams ($40 to $120/user/month): Adds admin controls and compliance features on top of Pro-level AI capability
- Enterprise: Custom pricing with pooled usage and granular admin controls
Auto mode, where Cursor selects the model for you, is effectively unlimited on paid plans. Credits only deplete when you manually pick a premium model like Claude Sonnet or a GPT-4-class model.
Antigravity Pricing
- Free tier: No credit card required, but usage limits have been cut sharply since launch. The original 250 requests per day dropped to around 20 requests per day by December 2025
- AI Pro ($20/month): Comes bundled with a Google AI Pro subscription, includes higher rate limits and access to Gemini, Claude, and GPT-class models
- AI Ultra ($100/month): A newer mid-tier introduced in May 2026, offering roughly 5x the token throughput of the Pro plan
- AI Ultra Max ($200/month, down from $249.99): The top tier, offering roughly 20x the token throughput of Pro
- Pay-as-you-go credits: $25 for 2,500 credits, used as overflow once your plan's quota runs out
There's a real transparency gap here worth flagging. Google has not publicly documented exactly how many tokens or operations one credit buys, or how many credits come bundled into each subscription tier. Several independent reviewers have called this out directly as the biggest weakness in Antigravity's current pricing structure. You genuinely cannot do accurate cost planning when you don't know what a credit is worth.
Cursor's credit system had similar criticism after its June 2025 pricing overhaul, but it has since stabilized into something more predictable, since a dollar of plan price roughly equals a dollar of credit pool.
Practical cost comparison:
- At the entry $20/month tier, the two tools are priced identically
- Antigravity's real cost can swing more unpredictably day to day, since usage is described as based on "work done" by agents rather than fixed request counts
- One independent reviewer testing Antigravity for a week found that a single complex multi-agent task could burn $5 to $10 in underlying API costs, even on a paid plan
- Cursor's Pro plan tends to be more predictable for typical daily use, with costs climbing mainly when you deliberately run multiple frontier-model agents in parallel
Stability and Reliability
This is where the gap between the two tools is currently the widest.
Cursor has had years to mature. It's used daily inside large engineering teams at companies like Stripe and Adobe, and its agent workflows are generally considered dependable for production work.
Antigravity is newer and it shows. One extensive week-long review from a developer testing it in April 2026 reported two crashes, one session where multiple agents got stuck in a loop, and occasional interface glitches. The same reviewer noted that for greenfield projects, when it works, it feels genuinely impressive. For an established codebase with years of history, it became a real problem.
That same reviewer's verdict is worth repeating almost verbatim in spirit: Antigravity is the most ambitious AI coding tool currently available, and also the most frustrating one when the demo breaks.
Where Each Tool Wins
Cursor Wins When You Need:
- Reliable, production-grade work on an existing, established codebase
- Predictable pricing without guessing what a credit is worth
- Flexibility to switch between multiple AI model providers deliberately
- A tool that's been battle-tested by large engineering teams for years
- Tight VS Code compatibility, including extensions and keyboard shortcuts
Antigravity Wins When You Need:
- Rapid prototyping or hackathon-speed builds from a blank slate
- Automatic, live browser testing of what the agent just built
- Deep integration with Google's ecosystem: Firebase, Android, AI Studio, Workspace apps
- Ambitious multi-agent orchestration with subagents and scheduled background tasks
- Access to Google's newest, fastest models like Gemini 3.5 Flash the moment they ship
The Ecosystem Lock-In Question
Antigravity defaults heavily toward Google's own stack. Out of the box, it pushes you toward Firebase for authentication and Cloud Run for deployment. You can change these defaults, but if your team already runs on AWS or Vercel, expect some friction working against the grain.
Cursor is comparatively neutral. It doesn't push you toward any particular cloud provider, database, or deployment target. It's an editor and agent layer that sits on top of whatever infrastructure you've already chosen.
If you're already building on Google Cloud, Firebase, or Android, Antigravity's integration depth becomes a genuine advantage rather than a constraint. If you're on a different stack entirely, that same integration depth works against you.
A Real-World Buying Framework
Instead of picking a "winner" in the abstract, here's a practical way to decide based on your actual situation.
Choose Cursor if:
- You're working primarily on an existing codebase with real history and structure
- Your team needs predictable, stable AI assistance every single day
- You want the freedom to pick between Claude, GPT, and Gemini models per task
- You're not deep in the Google Cloud ecosystem
- Budget predictability matters more to you than bleeding-edge experimentation
Choose Antigravity if:
- You're starting brand-new projects frequently, especially prototypes and MVPs
- Automated, live browser verification of your app would save you real debugging time
- You're already building on Firebase, Google Cloud, or Android
- You're comfortable with some rough edges in exchange for access to the newest agent capabilities
- You want Google's fastest models integrated the moment they're released
Consider running both if:
- You're a freelancer or agency juggling different types of projects, greenfield builds and legacy maintenance both come up regularly
- Your budget can absorb two $20/month subscriptions
- You want Cursor for daily maintenance work and Antigravity specifically for kicking off new projects fast
What's Likely to Change Soon
Both products are moving quickly, and anyone buying today should expect the landscape to shift again within months.
- Antigravity's pricing has already changed multiple times since its November 2025 launch, including free tier cuts and a full restructuring of paid tiers in May 2026
- Cursor's credit system has stabilized since its own major 2025 overhaul, but usage-based pricing across the industry tends to keep evolving
- Google is actively pushing Antigravity's underlying agent technology into consumer products like Search, which suggests continued heavy investment
- Cursor continues shipping incremental agent improvements, with Background and Cloud Agents expanding steadily through 2026
If you're evaluating either tool for a long-term commitment, it's worth checking current pricing directly on cursor.com/pricing or antigravity.google before finalizing a decision, since both pages update more frequently than most third-party reviews can track.
Final Verdict
Cursor is the safer, more dependable buy for anyone doing serious daily development work on real projects. It has years of refinement behind it, predictable pricing, and a track record with large engineering teams.
Antigravity is the more exciting bet for greenfield building, especially if you're already inside Google's ecosystem and want the newest agent capabilities as soon as they ship. Just go in knowing it's still working out some rough edges, and that its pricing transparency has real room to improve.
If you can only pick one tool right now and your work involves maintaining and extending existing code, Cursor is the more reliable choice. If your work is mostly building new things fast and you want to see them tested live in a browser without lifting a finger, Antigravity is worth the learning curve.
Frequently Asked Questions
Can I use Cursor and Antigravity together? Yes. Many developers run both, using Cursor for daily maintenance on established projects and Antigravity for kicking off new prototypes quickly.
Which tool is cheaper overall? At the entry tier, both cost $20/month. In practice, Cursor's real-world costs tend to be more predictable, while Antigravity's credit-based overage system can produce more variable monthly bills.
Does Antigravity work offline? Antigravity supports local model execution through tools like Ollama, letting you run agents on your own hardware for privacy-sensitive or offline work.
Is Cursor better for beginners than Antigravity? Neither tool is designed for complete beginners with zero coding knowledge. Both assume some technical background, though Cursor's VS Code familiarity gives it a slightly gentler learning curve for anyone who's used a code editor before.
Which tool has better customer support and community size? Cursor has a larger, more established user base and more accumulated troubleshooting content, since it launched years earlier. Antigravity's community is growing quickly but is still newer and smaller.