AI Coding

Google Antigravity

Google Antigravity is a generally available (since May 2026) agent-first development platform where an Agent Manager orchestrates multiple AI agents working in parallel across an editor, terminal, and controlled browser. It lets you assign different models to different agents (Gemini 3.1 Pro and Gemini 3.8 / 3.7 / 3.6 Flash on every tier; Claude Sonnet 5.5 and Opus 5.5 on Pro and Ultra) within one workflow, and every run produces auditable artifacts like task lists, plans, terminal logs, and browser recordings. It is aimed at developers who want to delegate and supervise multi-step coding work rather than write every line themselves.

Key Features

Agent Manager that spawns and coordinates multiple agents in parallel across workspaces
Models: Gemini 3.1 Pro, Gemini 3.8 / 3.7 / 3.6 Flash on every tier; Claude Sonnet 5.5 and Opus 5.5 on Pro (non-trial) and Ultra. Claude Sonnet/Opus 4.6 and GPT-OSS-120B are being removed on Nov 2, 2026.
Auditable artifacts per mission: task lists, implementation plans, terminal logs, screenshots, and browser recordings
Built on VS Code with an editor, integrated terminal, and agent-driven browser control
Claude models accessible without an Anthropic account; billing flows through your Google account
Surfaces: Antigravity 2.0 desktop, Antigravity CLI (agy), SDK, IDE extensions (VS Code, Visual Studio, JetBrains, Zed, Xcode), Remote Control.
Integrations with Google AI Studio, Android, and Firebase
Sign in with a Google account, no API key or credit card required for the free tier
Automations (scheduled/background tasks, renamed in v2.21, Oct 2026), custom agents, Teamwork (preview).

Pros & cons

Pros

Unique multi-model, multi-agent setup: run Gemini and Claude side by side in one IDE
Auditable artifacts make agent behavior reviewable, valuable for sensitive repositories
Claude Sonnet 5.5 and Opus 5.5 on Pro (non-trial) and Ultra through your Google account, no Anthropic key needed
Familiar VS Code foundation lowers the learning curve for existing developers
Expanded into a full platform with desktop app, CLI, and SDK for scripted and background workflows

Cons

Credit system is opaque: developers report being unable to plan costs because what a credit buys is unclear, and docs note rate limits are 'not guaranteed'
Quota per request is still hard to predict; heavy agent sessions burn through the 5-hour window fast.
Claude models cost quota on Pro/Ultra only; free users get Gemini models.
Fast release cadence (several releases a month) means behavior and limits keep shifting.

Pricing

Plan	Details
Free	Individual: $0 with a Google account (no API key or card); quota refreshes weekly. Generally Available since May 2026.
Starter	Google AI Pro: $19.99/mo (higher quota, refreshes every 5h)
Pro	Google AI Ultra: $99.99/mo (5x Pro) or $199.99/mo (20x Pro); highest quota, refreshes every 5h

Also: Business via Gemini Enterprise, from $30/seat/mo (or pay-as-you-go, $0 seat fee), billed through Google Cloud. Flash and Pro share one Gemini quota. AI credits are used only for overage, billed at Gemini Enterprise rates. Claude Sonnet/Opus 4.6 and GPT-OSS-120B are being removed on Nov 2, 2026. Verified 2026-10-08.

Tips & Best Practices

Use cheaper/faster models (Gemini Flash) for routine agent steps and reserve Opus/Gemini 3 Pro for hard reasoning to conserve credits
Lean on the artifacts (plans, logs, recordings) to review agent actions before accepting changes, especially on important repos
Treat the free tier as a trial, not a daily driver, given the steep request caps after the March 2026 cuts
Run independent agents in parallel via the Agent Manager for tasks with no shared state to save wall-clock time

Final Recommendation

Google Antigravity is a freemium AI tool best suited for Developers wanting multi-agent, multi-model orchestration in one IDE, Teams needing auditable agent activity for compliance or sensitive code.

Google Antigravity

Key Features

Pros & cons

Pros

Cons

Pricing

Tips & Best Practices

Final Recommendation

What Jev Actually Does: TypeSafe's AI Model That Decides Instead of Writing

Google's First Suncatcher Satellite Is a Chip Test, Not a Data Center in Space

GPT-6 Astra Is Here: What Changed and How to Use It

Key Features

Pros & cons

Pros

Cons

Pricing

Tips & Best Practices

Final Recommendation

Related Articles

What Jev Actually Does: TypeSafe's AI Model That Decides Instead of Writing

Google's First Suncatcher Satellite Is a Chip Test, Not a Data Center in Space

GPT-6 Astra Is Here: What Changed and How to Use It