OpenAI Codex vs Google Antigravity

OpenAI Codex and Google Antigravity are both agent-first bets on how AI should write code, but they come from very different places on the maturity curve.

Codex is a proven, bundled part of every ChatGPT plan: you delegate a task from a terminal, an IDE, or the cloud, and it edits files and runs tests on one OpenAI model.

Google Antigravity is Google's newer agent-first platform, launched in November 2025 alongside Gemini 3. Its Agent Manager lets you spawn and supervise multiple agents at once across the editor, terminal, and browser, and it is currently free for individuals in public preview.

This page compares how each one works, what they cost, and which fits a team today versus a pilot.

OpenAI Codex vs. Google Antigravity: Side-by-Side

What is OpenAI Codex?

OpenAI Codex is an agentic coding system that takes a task and hands back a reviewable change.

You reach it from a terminal CLI, an IDE extension, a GitHub bot, or a cloud task inside ChatGPT, and it runs on one model, the GPT-5.6 family.

It ships bundled into every ChatGPT plan, from Free through Enterprise, metered as token-aligned credits since an April 2026 pricing shift. See our full OpenAI Codex explained guide for more.

What is Google Antigravity?

Google Antigravity is an agent-first development platform Google launched in November 2025 alongside Gemini 3 (Google Developers Blog).

Its centerpiece is an "Agent Manager," where you spawn, orchestrate, and observe multiple agents working asynchronously across the editor, terminal, and browser at once (Google Developers Blog). Agents produce artifacts — plans, task lists, screenshots — so you can verify the work without watching every step.

Antigravity leads with Gemini 3 Pro and adds full support for Claude Sonnet 4.5 and OpenAI's GPT-OSS (Google Developers Blog), so it is not locked to a single vendor's model the way Codex is.

As of August 2026 it remains a free public preview for individuals, so treat its enterprise and data terms as still settling.

One delegated agent vs a supervised fleet

Codex hands you one agent per task: you describe the job, it runs, and you review a single change.

Antigravity is built for running several agents at once, each on its own workspace, with you supervising the fleet through the Agent Manager rather than one task at a time.

Our own routine-automation portfolio runs dozens of scheduled agents in parallel — content generation, technical SEO audits, competitor monitoring — each reporting back independently rather than one at a time. That experience is why the single-agent-versus-fleet question matters more than raw model quality: a team that only ever needs one task delegated at a time gets little extra value from a supervision console built for many agents running together, while a team already juggling several unattended jobs feels the difference immediately.

• Codex: one task, one agent, one reviewable result.
• Antigravity: many agents, one supervision console, async by design.
• The right pick tracks how many concurrent jobs your team actually delegates.

Model choice and product maturity

Codex runs on a single OpenAI model family, tied to your ChatGPT account, in a bundled product that has been in production use for over a year.

Antigravity leads with Gemini 3 Pro but also supports Claude Sonnet 4.5 and GPT-OSS (Google Developers Blog), giving it more model breadth. That breadth comes with the caveat of being a public preview: rate limits, terms, and pricing can still change before Google settles on an enterprise offering.

A team that wants a settled, billable tool today leans Codex. A team comfortable piloting on a free preview, and interested in Gemini 3's multi-agent design, has more room to experiment with Antigravity.

Pricing today

Codex has no separate price tag: it is bundled into every ChatGPT plan and metered as token-aligned credits, so the real cost is whatever ChatGPT tier your team already pays for. See our Codex pricing guide for the breakdown by plan.

Antigravity is free for individuals in its public preview as of August 2026 (Google Developers Blog). Free is attractive for a pilot, but a preview product's pricing, rate limits, and terms can all change once it exits preview — budget for that possibility rather than assuming free stays free.

→ Compare per-token pricing for every AI model

When to choose each

Choose Codex when your team already runs on ChatGPT plans and wants a proven, bundled agent for delegated tasks today.

Choose Antigravity when you are deep in the Google ecosystem, want to test a multi-agent supervision workflow, and are comfortable running a scoped pilot on a free preview rather than betting production work on it yet.

Verify Antigravity's current enterprise and data terms directly before putting any sensitive code through it — preview terms move fast.

• Codex first: ChatGPT-standardized team, proven product, single-model simplicity.
• Antigravity first: Google-ecosystem team, want to pilot multi-agent orchestration, comfortable with preview terms.

The Verdict

Codex and Google Antigravity sit at different points on the maturity curve more than they compete head-on for the same buyer.

Codex is the lower-risk pick for a team that wants a bundled, production-proven agent it can rely on today, at the cost of being tied to one model.

Antigravity is the more ambitious platform: free, multi-agent, and built on Gemini 3, but still a public preview whose enterprise terms are not fully settled.

A pragmatic path is to keep Codex for delegated production work now, and run a scoped Antigravity pilot to learn its multi-agent workflow before deciding whether to shift more work onto it.