Google Antigravity is Google’s agentic development platform for planning, building, testing, and reviewing software with AI agents. It is more than a single model or a chat-based coding assistant: the current product combines an agentic IDE, a command-line interface, an SDK, and a command center for coordinating multiple local agents.
The original public-preview product has moved into a new lifecycle. As of July 30, 2026, Google describes Antigravity 2.0 as generally available. The platform now spans an IDE, CLI, SDK, and multi-agent command center, while the Individual plan is available at no charge.
For code explanations, planning, and everyday coding questions, GlobalGPT brings multiple supported models, including Gemini 3.1 Pro, into one account with one subscription. You can move between models without managing separate subscriptions; Antigravity’s local development environment remains a separate Google product.
What Is Google Antigravity? (Core Definition + How It Works)
Google Antigravity is an AI-driven development environment that allows agents to work across an editor, terminal, and browser. Unlike traditional Gemini CLI workflows, Antigravity is organized around autonomous task execution: an agent can plan a change, modify files, run commands, test the result, and return evidence for review.
Antigravity 2.0 expands the original IDE concept into several connected surfaces:
- Antigravity IDE: a full development environment with an agent manager and Artifacts.
- Antigravity CLI: a terminal-first surface for working with agents from the command line.
- Antigravity SDK: a way to bring Antigravity capabilities into custom developer workflows.
- Agent command center: a place to manage multiple local agents, group conversations into Projects, work across multiple workspaces, and schedule routine tasks.
The simple distinction is that Gemini is a family of models, while Antigravity is a development product that orchestrates models, tools, files, terminals, browsers, and review artifacts. A broader look at Gemini 3 capabilities can help explain the model layer, but model access alone does not include Antigravity’s IDE, CLI, SDK, local-agent controls, or permission model.
Key Features of Google Antigravity
Google has built Antigravity around delegated work, visible evidence, and multiple control surfaces. These features separate it from a coding chatbot that only suggests the next block of code.
1. Agent-First Design
Antigravity treats AI agents as task executors capable of:
- planning bounded development tasks;
- coordinating with other agents;
- editing and running code;
- operating a browser for task-related verification;
- running tests and producing progress reports.
This shifts development toward autonomous workflows, but human review still matters. Repository permissions, terminal access, generated diffs, test output, and deployment actions should be checked before changes are accepted.
2. Verifiable “Artifacts” for Transparency
One of the most useful ideas in Google Antigravity is its system of Artifacts—structured records that make an agent’s work easier to review. Instead of relying on a long stream of tool logs, the developer can inspect the plan, changed files, validation steps, and relevant visual evidence.
What Exactly Are Artifacts?
Depending on the task and product surface, Artifacts can document:
- task lists and implementation plans;
- progress summaries;
- code diffs and file changes;
- editor or browser images;
- browser recordings;
- test results and other validation output.
They act as a proof-of-work layer that helps a developer audit what changed before accepting it. The concept is especially valuable when an agent uses tools or external services; for example, Gemini API cost and usage details belong in a separate billing check rather than being inferred from an agent log.
3. Editor View, Manager View, CLI, and SDK
The original product emphasized two interface modes. Antigravity 2.0 keeps that distinction but adds CLI and SDK routes.
Editor View
- Works like a full development environment.
- Keeps hands-on coding close to the agent workflow.
- Fits tasks that require frequent manual inspection and editing.
Manager View
- Coordinates multiple agents and conversations.
- Groups work into Projects and spans multiple workspaces.
- Acts as a command center for parallel or scheduled work.
The CLI offers a lighter, terminal-first route, while the SDK supports custom integrations. This makes “Antigravity vs. another IDE” an incomplete comparison: the product now covers more than an editor interface.
4. Enhanced Feedback and Collaboration Tools
Artifacts create a review surface for plans, changes, and evidence. Feedback can be attached to the work instead of being buried in a long chat history, making revisions easier to trace.
5. Reusable Project Context and Procedures
Recurring development work benefits from reusable project instructions, procedures, and scheduled tasks. These features can reduce repeated setup, but they should not be treated as a guarantee that an agent “learns” every preference permanently. Project context and automation rules still need deliberate review.
How to Get Started with Google Antigravity 2.0
Antigravity is best approached as a controlled delegation environment, not as a prompt box with unlimited permission.
- Download the official product. Start from the Google Antigravity download page and choose macOS 12 or later (Apple Silicon or Intel), Windows 10 64-bit or later (x64 or ARM64), or a compatible Linux build (glibc ≥ 2.28; glibcxx ≥ 3.4.25).
- Choose the right surface. Use the IDE for visual editing and review, the CLI for terminal-first work, and the SDK for a custom integration. Official extensions also connect Antigravity to supported IDEs.
- Check account eligibility. The personal route requires a Google account, age 18 or above, and a country or territory in Google’s availability list. Enterprise access follows the Google Cloud route.
- Open a trusted workspace. Begin with a repository that has version control and a recoverable branch or backup.
- Grant only the permissions the task needs. Browser, terminal, file, network, and deployment access can have different consequences.
- Assign a bounded task. Define the files, acceptance checks, test command, and actions that require confirmation.
- Review the evidence. Inspect Artifacts, diffs, commands, tests, and visual output before accepting changes.
- Scale gradually. Move to parallel agents or scheduled work only after the single-agent workflow is predictable.
Deep reasoning can help with architecture, but a model setting is not a substitute for clear acceptance criteria. The separate explanation of Gemini Deep Think is useful background when evaluating reasoning modes, while the Antigravity product controls should be checked in current Google documentation.
Supported AI Models and Plans
Google’s Antigravity pricing page lists the product as generally available. On July 30, 2026, the Individual plan was shown at $0/month.
| Plan | What the official page lists | Practical fit |
|---|---|---|
| Individual | Gemini 3.8 Flash, Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.1 Pro, Claude Sonnet & Opus 4.6 (thinking), and GPT-OSS-120b; unlimited tab completions and command requests; basic weekly model limits | Trying Antigravity and lighter ongoing use |
| Google AI Pro | Everything in Individual, with higher weekly limits; five-hour quota refreshes until the weekly limit is reached; optional AI-credit overages | More frequent agent work |
| Google AI Ultra | Everything in Pro, with the highest weekly limits and the most generous five-hour quota; optional AI-credit overages | Heavy daily development workflows |
| Organization via Google Cloud | Antigravity 2.0 and CLI through Gemini Enterprise Agent Platform, with Google Cloud project integration and consumption-based pricing; included in select Gemini Enterprise app subscriptions during rollout | Managed organizational deployment |
Google AI Pro and Ultra are Google One subscription plans; Antigravity’s pricing page does not quote a paid monthly amount. Confirm your region’s price, billing period, tax treatment and any trial renewal terms before subscribing. Antigravity quota is separate from Gemini API billing.
For third-party model access, the Models page explicitly lists Free/Google AI Plus, Pro and Ultra as supported, and Enterprise as unsupported. The Plans page highlights third-party access under Ultra without an equivalent availability table; check the model selector if your account differs.
Google’s Antigravity plan documentation describes weekly refreshes for free users and five-hour refreshes for Google AI Pro and Ultra, with weekly limits still applying. Pro’s five-hour quota refreshes until its weekly limit is reached. Usage depends on the work an agent performs, so there is no fixed public prompt count. Paid users can enable AI-credit overages after their baseline quota runs out.
Developers comparing plan access may also want to check who can use Gemini 3 Pro, but that article describes model access rather than the complete Antigravity product.
“Vibe Coding” in Antigravity 2.0
Vibe coding uses natural-language instructions to turn an idea into working software. Antigravity can extend that workflow beyond code generation: agents can plan a feature, edit multiple files, run tests, inspect a browser result, and return evidence for review.
The practical advantage is the feedback loop, not a leaderboard score. A fast model may be useful for routine edits, while a stronger reasoning model may be better for architecture or difficult debugging. Neither removes the need to inspect dependencies, security-sensitive changes, tests, and deployment steps.
Why Google Antigravity Matters for Developers
Antigravity represents a shift in how development tools work. Instead of simply generating code, an agent can:
- plan a full solution;
- execute a bounded series of tasks;
- return reviewable evidence;
- manage multi-step operations;
- coordinate with other agents;
- work through an IDE, CLI, SDK, or manager surface.
This moves AI coding beyond autocomplete toward delegated development. The most important difference is not that the agent can act; it is that the developer can define boundaries and inspect the resulting work. Broader model-selection questions, such as Claude vs. ChatGPT for coding, remain separate from choosing the development platform that will orchestrate those models.
Google Antigravity vs. Cursor and Windsurf
The best choice depends on how much work should be delegated and how much should stay under direct editor control. Competitor features change quickly, so this table compares workflow shape rather than volatile model menus.
| Decision factor | Google Antigravity 2.0 | Conventional AI-first editor workflow |
|---|---|---|
| Product shape | IDE, CLI, SDK, and multi-agent manager | Primarily an editor-centered experience |
| Delegation | Designed for bounded tasks and parallel local agents | Often centered on interactive edits and agent sessions |
| Review evidence | Artifacts organize plans, changes, images, recordings, and validation | Review commonly centers on chat history, diffs, terminal output, and checkpoints |
| Best fit | Coordinating longer or parallel workflows across surfaces | Keeping tighter manual control inside one editor |
| Main caution | Permissions and parallel actions need explicit boundaries | Complex multi-step work may require more hands-on coordination |
Antigravity is the stronger fit when a command center, CLI/SDK extensibility, and review Artifacts matter. An editor-centered tool may be simpler when the developer wants to make each decision directly. Model quality and model price are another layer; a Claude Opus 5 vs. GPT-5.6 comparison can inform that layer without deciding the IDE question by itself.
Final Thoughts
Google Antigravity is no longer just a new Gemini 3 preview. Antigravity 2.0 is a generally available agentic development platform built around an IDE, CLI, SDK, multiple local agents, Projects, scheduled work, and reviewable Artifacts.
Choose it when coordinated delegation and evidence-based review are more valuable than staying inside a conventional editor workflow. Start with one bounded task, inspect every change, and expand permissions or parallelism only after the process is reliable.
For model comparison outside the Antigravity product, Gemini 3.1 Pro on GlobalGPT provides a separate route for testing model output. It does not provide Antigravity’s IDE, CLI, SDK, or agent-management features.
Frequently Asked Questions
What is Google Antigravity?
Google Antigravity is Google’s agentic development platform. Antigravity 2.0 combines an AI-enabled IDE, CLI, SDK, and manager for coordinating local agents, workspaces, scheduled tasks, code changes, tests, and review evidence.
Is Google Antigravity free?
Yes. The Individual plan is $0/month with basic weekly limits, checked September 13, 2026. Google AI Pro and Ultra offer higher limits; their five-hour refreshes do not remove weekly caps. See Google’s plan details.
Is Antigravity a model or an IDE?
Antigravity is a development platform, not a model. Its product surfaces include an IDE, CLI, SDK, and agent manager. It can use Gemini and selected third-party models to perform development tasks.
What changed in Antigravity 2.0?
Antigravity 2.0 expanded the product beyond the original agentic IDE. Google added a command center for multiple local agents, Projects, multi-workspace operation, scheduled messages, a CLI, an SDK, and an organizational route through Google Cloud.
Which models does Google Antigravity support?
As of September 13, 2026, Google lists Gemini 3.8, 3.7 and 3.6 Flash, Gemini 3.1 Pro, Claude Sonnet and Opus 4.6 (thinking), and GPT-OSS-120b. The official model matrix marks the third-party models unavailable for Enterprise.
How is Google Antigravity different from Cursor or Windsurf?
Antigravity 2.0 is broader than an editor alone: it combines IDE, CLI, SDK, multi-agent management, Projects, scheduled work, and Artifacts. Cursor and Windsurf may suit developers who prefer a more editor-centered, hands-on workflow.
Can GlobalGPT run Google Antigravity?
No verified evidence shows that GlobalGPT provides the Antigravity IDE, CLI, SDK, or agent manager. GlobalGPT can provide separate access to supported AI models for chat and comparison, which is not the same product experience.
