"Which tool is best?" comes up in every conversation about building with AI, and it is nearly always the wrong question. Claude Code from Anthropic and Antigravity from Google can do very similar things, yet the same prompt produces noticeably different results in each. One thinks better. The other designs better. I'll cover what the two tools are, where they really differ, where each one wins, and how to choose the one that suits your work rather than somebody else's.
Model names, prices and release status below describe the situation in April 2026. They change quickly, so check the current pricing pages before you commit.
Two tools in the same class
Start with what they share, because it is more than you might expect. Both are agentic coding platforms. An agent is a program that doesn't just answer a question but carries out the task itself: it takes a large request, breaks it into a plan, starts sub-agents (helpers that work on parts of the job in parallel), manages files and folders, runs terminal commands and works across the whole project at once.
The difference sits in the model, the AI doing the thinking underneath. Claude Code runs on Claude models by default and Antigravity on Gemini models. You can swap the model in either, though it sometimes takes extra configuration.
That leads to the one thing I want you to remember: the tool shapes how the model works, but the model sets the ceiling. Claude Code with the small, fast Haiku model is a completely different experience from Claude Code with Opus. Antigravity with Gemini Flash is not the same as Antigravity with Gemini Pro. When you compare output quality, you are largely comparing models.
The cost model follows from this. Neither tool charges a licence fee; you pay for model usage, measured in tokens, the units of text a model reads and writes. So the difference between Claude Code and Antigravity is not what they can do. It is where those capabilities live and how you reach them.
Stay in your workspace, or move into a new one
The shortest way to put it: Claude Code gives you building blocks and lets you keep working the way you already do. Antigravity packages the whole agent workflow into a purpose-built environment that you move into.
Claude Code is terminal-first. You install it, type a command in any terminal, and the agent starts wherever you already work, so your editor, shortcuts and extensions stay as they are. It has a few other entry points as well:
- an extension for the VS Code editor, which shows file changes, the plan and the project tree next to your conversation with the agent,
- a desktop app, friendlier for people who would rather not work in an editor,
- a browser version that needs no installation.
The terminal version has the most features, and a few advanced options exist only there. To get started, the editor extension is more than enough.
Antigravity is a standalone code editor (an IDE, integrated development environment) built on a base close to VS Code, so some of your extensions and shortcuts carry over. It has one way in: you download the app and work inside it. You can't run it inside VS Code. In return you get a manager view where you can watch several agents working in parallel across different projects, and a built-in browser agent that can navigate real web pages.
On extensibility the two are close. Both let you save project rules, conventions and custom instructions that persist between sessions. Both support plugins, custom commands and MCP (Model Context Protocol), the open standard for connecting AI to outside services such as code repositories, databases and design tools. Setup is where they differ. In Claude Code you add an MCP server with a single command, by asking the agent to do it, or by editing a config file. Antigravity has a visual panel with a catalogue where you install integrations with a click, which is gentler at the start. Advanced setups end up in the config file either way, but in both tools you can hand the agent a server address and ask it to set things up.
Both also have direct terminal access. If a tool runs from the command line, the agent in either one can use it. You can even run Claude Code in a terminal inside Antigravity if you want both in one window.
In my view Claude Code gives you more control over how a specific project behaves. It also stands out at understanding an existing project: it reads the files, picks up your patterns and naming, and fits new code to what is already there instead of bolting on something foreign. Antigravity's strength is building whole apps and front ends from scratch. An independent test running several weeks across a dozen real projects found that it generated mostly clean code and finished a good share of tasks with no human involvement.
Antigravity does have a documented weakness, discussed on Google's own developer forums: on longer projects it can gradually drift away from the rules set at the start. It builds exactly to spec on day one and starts ignoring the spec by day three. To be fair, every agent and every model does this to some degree.
Same three prompts, two different results
The clearest view of the difference comes from running identical tasks. Both tools received the same prompts, Claude Code with Opus 4.6 and Antigravity with Gemini 3.1 Pro, without any extra skills for planning or design, to keep the comparison fair.
Task one: a habit tracker app, one prompt, no planning mode. The prompt was deliberately vague: a full app with a dashboard, streaks, an activity calendar, and adding, editing and deleting habits. Antigravity finished first, but its first version showed a blank white page and only ran after a fix. The Claude Code version worked straight away and had better-considered logic and user flow. Once Antigravity's version was running, though, it looked clearly better.
Task two: a PDF report, in planning mode. The prompt: research AI trends among small and medium-sized businesses and produce a PDF report of no more than three pages. No audience given, no technical guidance. Antigravity again finished sooner, but its report had almost no formatting and no sources, so you had to take the content on trust. It asked no questions about what you needed. Claude Code presented a clear plan, and the finished report had headings, tables, a better layout and a list of sources. It also flagged a minor layout issue on its own. Neither tool asked who the report was for, which would have helped a lot. Claude Code won this one.
Task three: a sales landing page for a course, no planning and no questions. The prompt: design a page for an AI automation course aimed at agency owners, with an opening section, customer testimonials, a pricing table and a call to action. Claude Code wrote better copy and structured the page better. Antigravity produced a much stronger visual design, with animation, depth, a dynamic background and an overall sense of polish.
The pattern is easy to read. Claude Code thinks better. Antigravity makes things look better, and it usually returns a result faster. One caveat on speed: a separate independent test found Claude Code finishing a representative task faster than Antigravity. Speed depends on the task, so don't treat it as a fixed property of either tool.
Benchmarks are worth a mention too. On SWE-bench Verified, an industry test of how many real bug reports from open-source projects a model resolves on its own, the two pairings of tool and top model score very close, with a slight edge to Claude Code. Google hasn't published its methodology in the detail Anthropic has, though, so it isn't a like-for-like comparison. On paper the gap is small; in practice the nature of your work decides.
Cost, limits and maturity
When you pick a tool to invest your time in, three things matter beyond output quality.
Cost. Going by April 2026 pricing, Claude Code requires a paid Claude plan. The cheapest, Pro, costs 20 dollars a month and runs out quickly under heavy use. People who work with it daily usually move to the Max plan at 100 or 200 dollars a month. You can also pay per use with an API key, but that usually costs more than a subscription. Antigravity is tied to Google's AI subscription plans. It has an entry tier with no subscription fee and weekly limits, which runs out fast on real work. Google AI Pro is 20 dollars a month and Google AI Ultra is 250 dollars. At the top tiers the two tools cost about the same. One note: some users report that inside Antigravity the limits for non-Gemini models such as Claude Opus are very tight, even on the Pro plan.
Limits and tokens. Models can burn through your limit faster than you expect. In March 2026 a caching bug in Claude Code inflated token usage many times over, and some Max plan users drained a whole session in under two hours. Anthropic acknowledged the problem. Antigravity has its own trouble: Google's quota system has been unpredictable, some users were locked out for a full week after hitting a limit, and the credit system doesn't clearly explain what one credit actually buys. That is why I count managing context and tokens among the most important skills to build. It carries over to any tool you end up using.
Maturity. As of April 2026, Claude Code is a production release with several updates a week. Antigravity is still in public preview and improving quickly, but it carries the instability that comes with that stage: reported login problems, bugs on Windows, agents getting stuck in loops. The pace of development differs as well. In the first quarter of 2026 Claude Code shipped several major platform-level features, often with more than one release a week. From its launch in November through March, Antigravity mostly received small fixes and optimisations.
One problem affects both equally: context loss. Even with a very large context window, meaning the amount of text a model holds in working memory at once, a big project with many tool calls and dozens of back-and-forth prompts makes the agent start losing earlier instructions. Antigravity's documentation advises starting a new chat once the agent takes longer than ten seconds to respond. Claude Code has a command that compresses the conversation history. The good practice is the same in both: one session, one task, and start fresh often.
How to choose
My rule is simple.
- Choose Antigravity if appearance and speed come first: websites, web apps, interface design. Also if you want to try working with an agent before you commit to a paid plan.
- Choose Claude Code if code quality, the ability to shape the tool around you, and reliability in daily work come first: automations, reports, products, work inside an existing project.
If I had to name one tool to learn today, it would be Claude Code. The quality of its output and the pace at which it is developing are hard to beat right now. Much of Antigravity's design advantage can also be closed with skills and custom instructions that push Claude Code toward better design. If you aren't working against the clock, a slower but more careful model is a sensible trade.
Two things take weight off the decision. First, the skills transfer. Learn one tool well, meaning planning, how agents work together and how to be precise about the output you expect, and you will find your way around the other quickly. A weak result is often less about the tool than about how it was used. Second, you don't have to choose for good. The tools can work together, so you can build the logic and structure in one and refine the visual layer in the other.
The principle I take from this: don't ask which tool is better. Ask which tool will do this particular job best, or which combination of tools will do its parts best. Start by naming the task you want to hand off this week, and pick the tool for it after that.
Your team already uses Claude Code? See the Claude Code pilot.
Your team uses Google's coding tools? See the Google Antigravity pilot.