Antigravity Review 2026: Features, Pricing & Verdict

The product Google built when it stopped pretending Gemini CLI was enough

Antigravity exists because Google looked at Claude Code’s $2.5B+ ARR trajectory and decided “Gemini CLI as a Code Assist sub-feature” wasn’t going to compete. The Antigravity 2.0 announcement at I/O 2026 was unusually direct about that: the older Gemini CLI and Code Assist IDE extensions are being deprecated, with consumer access ending June 18, 2026. Antigravity isn’t supplementing them; it’s replacing them.

The result is a standalone product with the same product surface area as Claude Code + Cursor combined: a CLI for terminal-first developers, a desktop app for visual/IDE-style work, an SDK for building custom agents, and a Managed Agents API for headless cloud execution. Four surfaces, one underlying agent runtime.

What Antigravity 2.0 is in 2026

The Antigravity 2.0 product (launched May 19, 2026):

• Desktop app — orchestrate multiple agents simultaneously; design custom subagent workflows; schedule tasks to run in the background
• CLI — rebuilt in Go; terminal-native; works the way Claude Code and Codex CLI do
• SDK — for developers building their own agent integrations on top of the Antigravity runtime
• Managed Agents API — single API call spins up an agent that reasons, uses tools, and executes code in an isolated Linux environment in Google’s cloud
• Three surfaces inside the desktop app: Editor (write code with agent assistance), Agent Manager (monitor running agents), Browser (agent-controlled browser for web tasks)
• Powered by Gemini 3.5 Flash — the new lightweight frontier model that Google claims outperforms Gemini 3.1 Pro on coding/agentic benchmarks while running 4× faster
• Enterprise tier — available through Gemini Enterprise Agent Platform

Pricing

Free tier

The Antigravity CLI and desktop app are free with a Gemini API key. Usage limits are generous enough for casual developer work.

Google AI Pro — $20/month

Existing Google AI Pro subscribers get higher Antigravity usage limits as part of the bundle.

Google AI Ultra — $100/month (mid-tier, new in May 2026)

Restructured at I/O 2026: the $100 AI Ultra mid-tier delivers 5× higher Antigravity usage limits than AI Pro, plus Spark agent access and other power-user features.

Google AI Ultra — $200/month (heavy tier)

The previous $249.99 heavy tier was cut to $200 at I/O 2026; this is the right pick for developers running Antigravity at production volume alongside heavy Veo 3 and Nano Banana Pro usage.

Managed Agents API

Pay-per-use via Gemini API for headless cloud agent execution. Pricing competitive with comparable cloud-execution offerings.

My recommendation: For most developers, free with a Gemini API key is enough to evaluate. If Antigravity becomes a daily driver, the AI Ultra $100 tier delivers 5× more headroom for the same monthly commitment as competing Claude Pro tiers.

What Antigravity does well

Multi-agent orchestration in the desktop app. Antigravity 2.0’s headline feature is the ability to run multiple agents in parallel — one writing tests, one refactoring legacy code, one investigating a bug — and watch them work in a unified UI. The closest competing product is Devin, but Antigravity gives you that orchestration locally with full transparency, not in a black-box cloud sandbox.

The Managed Agents API is genuinely useful. Spinning up an isolated Linux sandbox with a single API call is the kind of infrastructure that previously required cobbling together AWS or Modal. Antigravity bundles it into the platform.

Gemini 3.5 Flash is fast. Google’s claim that 3.5 Flash beats 3.1 Pro on coding/agentic benchmarks at 4× speed is, anecdotally, holding up in practice. Agent loops feel snappier than equivalent Claude Code or Codex flows.

Four-surface coverage. Most harnesses pick one or two surfaces (Claude Code = CLI; Cursor = IDE). Antigravity bundles CLI + Desktop + SDK + Cloud into one product. Developers who shift between contexts (CLI for prototyping, desktop for review, cloud for CI) get one mental model.

Free tier is real. The Gemini API free quota is generous enough that casual Antigravity use doesn’t require a subscription.

Where Antigravity falls short

Newer and less polished than Claude Code. Antigravity 2.0 is six months into its current shape; Claude Code has compounded twelve months of product polish. UI edge cases, permission-prompt friction, and tool-use error recovery all favor Claude Code today.

Gemini lock-in. Unlike Aider, OpenCode, or Pi, Antigravity is built around Gemini. You can’t easily swap to Claude or GPT for a specific task. For Gemini stack shops this is fine; for multi-model shops it’s a hard limitation.

The Gemini CLI deprecation creates a forced migration. Existing Gemini CLI users have until June 18, 2026 to migrate to Antigravity. That’s enough lead time, but it’s an annoying mandatory transition for users who were happy with the simpler CLI.

Enterprise procurement still maturing. The Gemini Enterprise Agent Platform is real but newer than Microsoft’s GitHub-Copilot Enterprise procurement story. Large enterprises evaluating Antigravity will find the procurement workflow less polished than Copilot’s.

Antigravity vs. the alternatives

See the head-to-head section in the best AI harnesses roundup for the side-by-side breakdown.

Versus Claude Code: Antigravity 2.0’s desktop app is more visual; Claude Code is more polished and has longer compound product time. For terminal-only work Claude Code still wins; for orchestrating multiple agents Antigravity’s desktop UI is a real differentiator.

Versus Cursor: Cursor is the multi-model IDE harness; Antigravity is the Gemini-only multi-surface platform. If you specifically want to switch models per task, Cursor wins. If you specifically want one Gemini-stack tool with CLI + desktop + cloud, Antigravity wins.

Versus GitHub Copilot: Both are big-tech enterprise plays. Copilot wins on procurement convenience for GitHub-Enterprise shops; Antigravity wins on raw multi-agent capability.

Versus OpenAI Codex: Codex is OpenAI’s CLI-first harness; Antigravity is Google’s everything-first platform. For pure async delegation Codex is still the cleaner pick; for visual multi-agent orchestration Antigravity wins.

Versus OpenCode / Aider: These are model-agnostic open-source harnesses. If open-source / self-hosted matters, neither is comparable to Antigravity’s Gemini-locked stack.

Who should use Antigravity

• Gemini-stack developers — the default; the deprecation of Gemini CLI makes it mandatory
• Multi-agent orchestration users — the desktop app’s parallel-agent UI is best-in-class
• Cloud-agent builders — Managed Agents API removes infrastructure overhead
• Cost-conscious power users — AI Ultra $100/month is the cheapest “5×” tier in the category
• Enterprise dev teams already in Google Workspace — natural procurement path

Who shouldn’t use Antigravity

• Multi-model shops — Gemini lock-in is real; use Cursor, Aider, or OpenCode instead
• Privacy-first / offline users — agent execution sends data to Google’s cloud
• Developers who want maximum CLI polish today — Claude Code is more mature
• Open-source / self-hosted requirements — Antigravity is proprietary; pick Aider, Pi, or OpenCode

My verdict

Antigravity 2.0 is the most credible non-Anthropic harness in the category as of May 2026. Google built it because the existing Gemini CLI couldn’t compete with Claude Code, and the rebuilt product is a serious answer — multi-surface, multi-agent, and tied to a faster-and-cheaper model in Gemini 3.5 Flash.

For Gemini-stack developers it’s not a choice; the deprecation of Gemini CLI and Code Assist on June 18, 2026 makes migration mandatory. For everyone else it’s worth evaluating against Claude Code and Cursor — especially if multi-agent orchestration in a desktop UI sounds appealing.

The bigger structural read: 2026 is the year the harness layer became the AI product surface. Anthropic built Claude Code, OpenAI built Codex, Google built Antigravity. All three are now “the company’s flagship developer product” — not afterthoughts. For broader context, see the best AI harnesses roundup, the Google I/O 2026 recap, and the head-to-head Claude Code vs Cursor comparison.