Amp
Amp
VS
Google Antigravity
Google Antigravity

Amp vs Google Antigravity — Which AI Agent Is Better?

An in-depth comparison of Amp and Google Antigravity across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.

Community Vote

Pick a winner in each category — you can change your vote anytime.

Output Quality
Writes correct, production-ready code and answers
Autonomy
Completes multi-step tasks end-to-end without hand-holding
Reliability
Consistent results — doesn't go off the rails or break
Speed
Fast responses and quick task turnaround
Value
What you get for what you pay
Ease of Use
From install to first useful result with minimal friction
Amp
Antigravity
Category
Coding Agent
Coding Agent
Pricing
Usage-based credits / free tier
Free public preview
Open Source
No
No
Best For
Teams that want maximum-capability agentic coding and will pay for tokens at cost
Developers who want to try the most agentic IDE experience available today
Key Features
Always-frontier models, no picker, Shareable threads & team visibility, Subagents for parallel work
Agent manager for parallel agents, Editor + terminal + browser control, Verifiable artifacts (plans, recordings)

Verdict: Amp or Antigravity?

Updated 2026-07-04

Choose Amp if you are teams that want maximum-capability agentic coding and will pay for tokens at cost. Choose Google Antigravity if you are developers who want to try the most agentic IDE experience available today.

In our editorial scoring, Google Antigravity leads in 2 of six categories (autonomy and value), while Amp leads in 1 (reliability). On price, Amp runs usage-based credits / free tier and is proprietary; Google Antigravity runs free public preview and is proprietary.

In-Depth Comparison

Amp Overview

Amp is Sourcegraph's take on agentic coding: no model picker, no knobs — it always runs frontier models with maximum reasoning and leans into autonomy. Work happens in shareable threads across the VS Code extension and CLI, with subagents for parallelizable work and team visibility into how colleagues prompt. It's deliberately opinionated and token-hungry; credits are consumed at cost, so sustained heavy use gets expensive, and there's no BYO-key escape hatch.

Google Antigravity Overview

Antigravity is Google's agentic development platform, launched alongside Gemini 3: a VS Code-style IDE where an agent manager dispatches agents that work across the editor, terminal, and a Chrome browser they control — producing verifiable artifacts (plans, screenshots, browser recordings) as they go. The free public preview and Gemini 3 Pro quality made it an instant heavyweight, but it's still early: capacity limits, preview rough edges, and early prompt-injection concerns around the browser-control surface mean production teams should keep a human on the loop.

Score Breakdown

Output Quality
8.5
vs
8.5
Autonomy
8.5
vs
9.0
Reliability
8.0
vs
7.0
Speed
8.0
vs
8.0
Value
7.0
vs
9.0
Ease of Use
8.0
vs
8.0

Features

Amp
  • Always-frontier models, no picker
  • Shareable threads & team visibility
  • Subagents for parallel work
  • VS Code extension + CLI
  • Deep codebase context (Sourcegraph DNA)
  • Opinionated, zero-config design
Antigravity
  • Agent manager for parallel agents
  • Editor + terminal + browser control
  • Verifiable artifacts (plans, recordings)
  • Gemini 3 Pro (plus other frontier models)
  • Cross-surface task orchestration
  • Free public preview

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