An in-depth comparison of Amp and Google Antigravity across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
Pick a winner in each category — you can change your vote anytime.
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.
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.
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.
Whichever AI agent you choose, Standard Compute gives you unlimited LLM compute at one flat monthly price. No rate limits, no per-token billing.