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Google Antigravity vs OpenCode (2026): IDE or Terminal?

Updated April 29, 2026

vs

Both tools run several agents at once, which is unusual enough that it's worth saying where they differ. Antigravity is a VS Code fork with a Manager View for dispatching agents across the editor, terminal, and browser, so the orchestration is something you watch happen in a UI. OpenCode runs planner and builder sessions in parallel from the terminal, and you keep track of them the way you keep track of any other processes you started.

The models are the sharper split. Antigravity is built around Gemini 3 with some third-party model support, and it's free during preview with rate limits that tighten under heavy use. OpenCode connects to 75+ providers through Models.dev and expects you to bring your own keys, which costs more to set up and leaves you holding the provider relationship.

That last part matters more than it sounds. A preview product's limits and pricing can change, and a BYOK setup can lose a model when an upstream provider changes its terms. Either way, the thing you're choosing is who controls model access, not just which editor you prefer.

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Developers who want AI agents working across their editor, terminal, and browser
Best For
Developers who want an open-source coding agent across terminal, IDE, and desktop with any model provider
Product Summary

Google Antigravity is Google's agentic development platform, with an agent-first IDE, a terminal CLI, and Antigravity 2.0 for running multiple coding agents in parallel.

Product Summary

OpenCode is an open-source AI coding agent for the terminal, IDE, and desktop with 75+ LLM providers. Compare its Zen and Go pricing, pros, and cons.

Starting Price
Free
Starting Price
$0Per forever
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
Yes

Key features

Core capabilities each platform advertises.

Google AntigravityGoogle Antigravity
  • Agent-first IDE with an agent manager and codebase-aware context
  • Antigravity 2.0 for running multiple local agents in parallel
  • Terminal CLI with background subagents
  • Python SDK for prototyping custom agents
OpenCodeOpenCode
  • Terminal UI, desktop app, and IDE extensions
  • 75+ LLM providers via Models.dev, including local models
  • Sign in with GitHub Copilot or ChatGPT Plus/Pro
  • LSP-enabled code understanding
  • Multi-session agents on the same project

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

Google AntigravityGoogle Antigravity

Pros

  • Free individual plan with unlimited Tab completions and Command requests
  • Works across an IDE, a terminal CLI, and a standalone agent manager
  • Gemini models on every plan, with Claude Sonnet 5.5 and Opus 5.5 on paid plans
  • Business plans include spend caps and centralized admin controls

Cons

  • Rate limits are described by tier rather than published as specific numbers
  • Claude models require Google AI Pro (non-trial) or higher
  • Pro and Ultra are Google One bundles, so you pay for storage and other services too
  • Model choice is limited to the models Google lists for each plan
OpenCodeOpenCode

Pros

  • Free and open source under MIT
  • Doesn't store code or context data
  • 75+ providers, including local models and existing Copilot or ChatGPT subscriptions
  • Same agent across terminal, desktop, and five IDEs

Cons

  • Zen data retention varies by provider, and OpenAI keeps requests for 30 days
  • Zen credit purchases carry card fees of 4.4% + $0.30
  • Go plans cap usage in 5-hour, weekly, and monthly windows

What people are saying

Google AntigravityGoogle Antigravity
Data not available
OpenCodeOpenCode
jeremy_kHacker News

It was the first time I felt like I could write up a large prompt, walk away from my laptop, and come back to a lot of work having been done.

Read full review

Google Antigravity or OpenCode — which should you choose?

Choose Google Antigravity if you want

  • Running several coding agents in parallel on one codebase
  • Handing terminal tasks to background subagents
  • Automating repetitive frontend and UX work in the browser
  • Prototyping custom agents in Python

Choose OpenCode if you want

  • Terminal-first AI pair programming
  • Privacy-sensitive environments using local models
  • Parallel agent sessions on one codebase
  • BYOK across providers without switching tools

Parallel agents are fast until one of them goes wrong

10KFree traces/mo
1,000+Models
5 minSetup

Respan traces every LLM call and tool run as one nested trace, so a failed run resolves to the step that caused it. Errors surface on the span, with input, output, latency, and cost attached to each one.

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