Official AI Rankings
Antigravity · Reviewed & Scored

Google Antigravity Review: The Agent-First IDE That's Brilliant When It Works and Baffling When It Bills You

Manager View, a built-in Chrome, and up to five agents working in parallel make it the most ambitious AI IDE shipped. The credit system and shrinking quotas keep it out of Editors' Choice territory.

By Devin Osei · Analyst, Developer & Coding Tools · July 20, 2026
78
Antigravity
Google
The Verdict

Antigravity is the boldest bet in AI coding right now, and when it's clicking, nothing else feels quite like it. Manager View turns you into an air-traffic controller for up to five agents at once, the built-in Chrome finally lets an agent see whether the UI it just built actually works, and Gemini 3.1 Pro drives all of it fast. But Google has cut free-tier quotas four times since December, the credit system is opaque enough that developers can't model their own costs, and Pro subscribers hit weekly walls that used to be five-hour refreshes. It's the pick if you already live in Google's ecosystem and want to run parallel agents on front-end work today. Everyone else should keep Cursor or Windsurf as the daily driver and treat Antigravity as the exciting second tool it currently is.

I've been running Antigravity alongside Cursor for about six weeks on a Next.js app, a Go microservice, and a weekend Chrome extension. Long enough to get past the launch-week high and into the part where you're just trying to ship. This is that report.

The pitch is genuinely different from every other AI IDE. Cursor and Windsurf are chat-and-tab tools that happen to have agents bolted on. Antigravity flips the frame: you're not the person typing, you're the person managing a small team of agents. Manager View is the control center, up to five agents can run in parallel across different tasks, and a built-in Chromium instance means the agent can actually open your localhost, click through a flow, and screenshot the result before it declares the job done. That last part is the thing you don't realize you were missing until you have it.

Pros

  • Manager View is the first AI IDE surface that actually treats parallel agents as the primary workflow. You see every agent's step, the files it touched, and its verification status in one control panel.
  • The built-in Chrome browser closes the loop on front-end work: the agent navigates to localhost, fills forms, clicks buttons, and screenshots the result so it can verify its own UI changes
  • Trust Artifacts (task lists, implementation plans, screenshots, browser traces, test runs) give you real evidence to review before merging, not just a diff and a shrug
  • Gemini 3.1 Pro is fast and decisive on long-horizon tasks, and the multi-model menu lets you route Claude Sonnet 4.6, Claude Opus 4.6, or GPT-OSS 120B to specific agents in the same mission
  • VS Code fork means your extensions, keybindings, and settings carry over in about two minutes, so the switching cost is basically zero

Cons

  • The credit system is opaque in a way that makes cost planning impossible: Google doesn't publish credit-to-token conversion, per-model credit costs, or how many credits each subscription includes, and their own docs disclaim that rate limits aren't guaranteed
  • Free-tier quotas have been cut four times since December 2025, and AI Pro subscribers report that the promised five-hour refresh has quietly turned into a weekly wait once you burn through your allowance
  • Ultra pricing is aggressive: even after the May 2026 cut, the top tier is $200/month, and Google now pushes professional developers away from the $20 Pro plan toward Ultra for anything beyond hobbyist use
  • The community-nicknamed 'paperweight' problem is real. Hit a wall on a Pro plan mid-refactor and you either buy credits ($25 for 2,500, worth an undefined amount of work) or wait.
Source: Google ↗

What it’s actually good at

Manager View is the feature that justifies the whole product. Instead of a chat sidebar, you get a control surface. Manager View lets you run 5 agents simultaneously, a built-in Chrome browser lets agents visually verify that the UI they built actually works, and Trust Artifacts (task plans, implementation notes, browser recordings) give you evidence to review before accepting changes . In practice, that means you can point one agent at a nasty auth refactor, spin up a second on unit tests, a third on docs, and a fourth on the bug you’ve been avoiding, then go make coffee. Asking AntiGravity to “refactor auth, write docs, and validate the checkout flow” runs those workstreams in parallel instead of sequentially, and for solo developers juggling multiple concerns, that’s a real time-saver . Every other AI IDE forces you to serialize.

The browser integration is the other thing that stopped feeling like a gimmick about a week in. Antigravity ships with deep browser control built in, agents can spin up a Chromium instance, navigate to your local dev server, click through user flows, and capture screenshots as evidence that the feature works . Ask it to add a new form field and it doesn’t just write the code, it opens the page, fills the form, and shows you the screenshot in the artifact panel. Front-end work is where this pays off the loudest, but I’ve caught API integration bugs the same way. The agent hit the endpoint from a real browser context and surfaced the CORS problem I’d have spent twenty minutes finding by hand.

The model menu is genuinely useful. Antigravity supports five LLMs: Gemini 3.1 Pro (with High and Low options), Gemini 3 Flash, Anthropic Claude Sonnet 4.6 or Claude Opus 4.6, and OpenAI’s GPT-OSS 120B . You can assign different models to different agents inside the same mission. Gemini for the planning pass, Claude for the actual coding, Flash for the cheap grunt work. That kind of routing used to require duct-taping three tools together. Here it’s a dropdown.

Gemini 3.1 Pro deserves its own line. Gemini 3 Pro powers the agent loop and it is fast, Google has tuned the editor for low-latency tool calls, and the agent feels noticeably more decisive than earlier Gemini-powered tools like Jules, and the model also handles long-horizon tasks better than Gemini 2.5 . This is the version of Gemini that finally competes with Claude Opus on actual coding, not just benchmarks.

Where it lets you down

The pricing is a mess, and pretending otherwise would waste your time. In March 2026, Google introduced AI credits as the usage currency for Antigravity. Subscriptions include built-in credits (exact amounts for Pro and Ultra are not publicly documented), additional credits can be purchased on top of your subscription, credit-to-token conversion rate is unknown, per-model credit costs are likely tied to model but not documented, and subscription credit amounts are not publicly listed. This opacity is the core complaint from the developer community, you can’t do cost planning when you don’t know what a credit buys you . Google’s own documentation carries a disclaimer that specified rate limits are not guaranteed. That’s not a footnote, that’s the whole problem.

The quota story is worse than the credit story. According to the plan description, AI Pro plans offer a “high, generous quota, refreshed every five hours until weekly limit reached,” but users report that this appears to be no longer the case (other than with the cheapest model), with a weekly wait between refreshes rather than five hours, during which time they cannot continue work without purchasing credits or upgrading the plan . And it isn’t paranoia. A developer on AI Pro who tracked their token usage posted that before January they could use over 300 million input and 1-2 million output tokens in a week for the Gemini Pro models, but that “this week I hit my weekly rate limits at less than 9 million input / 200 thousand output tokens” . That’s the “paperweight” complaint in a nutshell: you signed up for a daily driver and now you get a taste test.

Ultra is where Google now points serious users, and the math has been moving. Previously, Antigravity users had two Google AI subscription options, the $20/month Google AI Pro plan for entry-level quota, and the $250/month Google AI Ultra plan for the highest quota, and Google has now introduced a new $100/month Google AI Ultra plan for users with lighter but regular development needs, and reduced the price of the top-tier AI Ultra plan from $250 to $200 per month . Progress, sure, but Cursor Pro is $20 and Windsurf Pro is $20, and both have vastly clearer usage math.

Even the credits themselves are quietly expensive. AI credits can now be used for Antigravity, with subscriptions providing some built-in credits while further credits are available for purchase as needed, at a cost of $25 for 2,500, and exactly what a credit is worth when used with Antigravity is not described in the documentation . You’re being asked to buy a currency without an exchange rate.

How it stacks up

If you already run Cursor, Antigravity isn’t a like-for-like swap. Cursor is polished, quota-clear, and optimized for the single-session flow of one developer editing with an AI copilot. Antigravity is the opposite thesis: you’re a manager, and the value only shows up if you actually run parallel work. Solo developer knocking out one file at a time? Antigravity is overkill. Front-end work with multiple concurrent workstreams? It’s the strongest tool in the category right now.

Against Windsurf (now Devin Desktop under Cognition), the split is cleaner. Devin Desktop wants to be the single-agent command center for autonomous work. Antigravity wants to be the multi-agent dashboard for supervised work. Both are good, and picking between them is mostly about how you like to work.

Against Claude Code and the Codex CLI, Antigravity is the wrong shape if a terminal agent is your main move. Antigravity supports Claude and GPT alongside Gemini, but the first-party features (Manager View polish, Chrome integration, default model tuning) are optimized for Gemini, if you primarily run Claude Code or Codex, you are using a Google product as a host for someone else’s agent, and the fit is not as tight as a tool built around Claude or Codex specifically .

Should you pay for it?

Honestly? Start on the free tier, know the limits are going to bite fast, and only pay if the workflow clicks. If you’re a front-end developer who genuinely runs multiple concurrent tasks, if you already live in Google Workspace, or if Gemini 3.1 Pro is the model you reach for anyway, Pro at $20 is a fair bet, with the giant asterisk that the quota terms may change again next month. If you’re a heavier user who’d otherwise be juggling API bills across three providers, the new $100 Ultra is the tier that actually makes sense. The old $250 top tier was hard to justify against the competition, and even the new $200 Ultra Max is a lot.

If you’re a working developer who needs the tool to be there when you sit down at 9am, this isn’t the daily driver yet. Cursor and Windsurf/Devin Desktop have clearer pricing, more predictable quotas, and mature IDE ergonomics. Keep one of those as home base and use Antigravity as the specialist tool you reach for when you want to fan out five agents at once.

The bottom line

Antigravity is the most interesting thing to happen to AI IDEs since Cursor added Composer. Manager View is a genuine paradigm shift, the browser integration is the closed loop every other AI editor has been missing, and Gemini 3.1 Pro finally makes Google a real player in the category instead of a benchmark also-ran. But the credit system is the kind of pricing chaos that makes you re-check your trust every month, and the quota cuts have burned enough goodwill that even fans call it a paperweight when the wall hits. It scores a 78, a genuinely great product with a genuinely bad pricing story, and it lands just short of the Editors’ Choice line. Stabilize the credits and clarify the quotas and this is the one to beat. Until then, it’s the best second tool in AI coding and a risky pick for your first.

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