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AI Choice Engine

Agentic harness comparison

Gemini CLI vs Antigravity

Compared on where each one runs, which editors it supports, how autonomous it is, and how it bills — the four things that actually decide Gemini CLI vs Antigravity. Rankings reflect fit and trade-offs, not a single universal winner; partner links, when present, do not replace that methodology.

Details last verified September 26, 2026

Google

Gemini CLI

Terminal (open source; enterprise or paid API key since 2026-06-18) · Agentic

vs

Google

Antigravity

Own IDE, CLI, and IDE extensions · Agentic

AI harness specification comparison
SpecificationGemini CLIAntigravity
VendorGoogleGoogle
Runs inTerminal (open source; enterprise or paid API key since 2026-06-18)Own IDE, CLI, and IDE extensions
Editor supportAny (editor-agnostic), Gemini Code Assist IDE extension (Standard/Enterprise)Antigravity IDE, VS Code, JetBrains, Zed, Visual Studio 2026, Antigravity CLI, Desktop app
AutonomyAgenticAgentic
Pricing modelHybridHybrid
Requires changing editorWinner: NoYes

Benchmark scores carry the month they were measured. Values we could not confirm are shown as “Not verified” rather than estimated.

AgenticHybrid

Gemini CLI

Google's open-source (Apache 2.0) terminal AI agent for Gemini — since 2026-06-18 served only through Gemini Code Assist Standard/Enterprise licences, Google Cloud, or a paid Gemini API key. Individuals on free, Google AI Pro, or Google AI Ultra accounts were moved to Antigravity CLI.

Best for

  • Teams with a Gemini Code Assist Standard or Enterprise licence
  • Google Cloud organisations that already govern Gemini access
  • Existing Gemini CLI scripts and MCP setups billed to a paid Gemini API key

Watch out

The consumer tier is shut down (verified 2026-09-26, developers.google.com/gemini-code-assist/docs/deprecations/code-assist-individuals and the developers.googleblog.com transition post). Since 2026-06-18, Gemini CLI and the Code Assist IDE extensions no longer serve Code Assist for individuals (free), Google AI Pro, or Google AI Ultra, and 'Login with Google' no longer works — the old 60 requests/min and 1,000 requests/day free tier is gone, even though the GitHub README still shows it. What still works: Gemini Code Assist Standard/Enterprise licences, Google Cloud, and paid Gemini or Gemini Enterprise Agent Platform API keys, which Google's transition post says keep Gemini CLI accessible (usage-billed). Individuals without a paid key should use Antigravity CLI (`agy`; see Antigravity). The Apache 2.0 repo stays open source.

AgenticHybrid

Antigravity

Google's agent-first IDE built natively around Gemini, with IDE extensions for VS Code/JetBrains/Zed, Antigravity CLI (Google's replacement for consumer Gemini CLI since 2026-06-18), a desktop app, and coordinated multi-agent workspaces — generally available with a $0 Individual plan, and bundled into Gemini Enterprise.

Best for

  • Agent-first workflows
  • Individuals moving off consumer Gemini CLI (Antigravity CLI)
  • Multi-agent coordination across editor + terminal + browser

Watch out

Generally Available (verified 2026-09-26, antigravity.google/pricing): the Individual plan is $0 with Gemini 3.8/3.7/3.6 Flash, Gemini 3.1 Pro, Claude Sonnet and Opus 4.6 and gpt-oss-120b under basic weekly limits; Google AI Pro and Ultra add higher limits and a flexible credit pool; an organisation plan comes through Google Cloud and Gemini Enterprise (bundled into Gemini Enterprise Standard/Plus since 2026-08-20). Antigravity CLI (command `agy`) is Google's official successor to consumer Gemini CLI: written in Go, it runs multiple agents, uses plugins in place of extensions, runs on macOS, Linux and Windows, and signs in through the browser (a Gemini API key works only with `modelProvider` set to gemini in settings.json) (antigravity.google/docs/cli and the developers.googleblog.com transition post). Gemini 3.8 Flash rolled out across Antigravity surfaces around 2026-09-01. Model-agnostic routing to Claude/GPT-OSS also available. One secondary source cites 76.2% SWE-bench Verified — unconfirmed by Google, treat as indicative. Adopting the IDE means a tool switch; extensions soften that for VS Code/JetBrains/Zed users.

Common questions

Gemini CLI vs Antigravity

Answered from the verified figures on this page rather than general guidance.

Do I have to change editor to use Gemini CLI or Antigravity?
Antigravity requires moving to its own environment, while Gemini CLI runs in the terminal (open source; enterprise or paid api key since 2026-06-18) alongside any editor. For a team that has not standardised on one editor, that difference usually outweighs any capability gap.
How are Gemini CLI and Antigravity priced?
Both are hybrid. The headline seat or plan price is not the heavy-agent bill — included credits, shared pools, and overages dominate once you loop agents hard. Estimate cost per successful task and set spend caps.
Is Gemini CLI or Antigravity better for large refactors?
Both are agentic, so neither has a structural advantage on delegated work. Judge them on editor fit and price instead.
Should I run Gemini CLI and Antigravity together?
Often yes as a hybrid stack rather than forcing one winner. Keep the stronger in-editor assistant for daily tab/chat work and the more autonomous surface for longer delegated tasks, then standardise on a portable repo rules file so project memory survives switching. Pilot both on the same practice repository before consolidating seats.
Will my project rules transfer between Gemini CLI and Antigravity?
Usually not automatically. Cursor rules, CLAUDE.md, AGENTS.md, and extension-specific configs are different conventions. Keep one source of truth in the repository (commonly AGENTS.md) and copy or link into each tool’s native format so switching does not wipe months of project teaching.
Do coding agents replace code review?
No. Agents can draft patches faster, but they do not remove the need for human review of plans, tool calls, permissions, diffs, tests, and rollback paths. Treat autonomy as a reason for stronger review, not less — see the coding assistant rollout guide at /ai-harnesses/guides/coding-assistant-rollout-guide.
Should we harden MCP before rolling out a coding agent?
Yes for any agent that can install MCP servers or run tools. Maintain a short allowlist, review each server’s folder and network access before install, fail closed on unknown tools, and log tool calls. .cursorignore and similar rules do not block MCP or shell access once a command is approved.

Next step

Which one fits

Autonomy and editor constraints decide this far more reliably than a benchmark score.

If most of your week is small, frequent edits, an assistive workflow beats delegation and an agentic harness sits idle while billing. If you regularly hand over work spanning many files, the reverse is true.

Where one tool requires changing editor and the other does not, that difference usually outweighs any capability gap across a team — rollouts fail on adoption, not capability.