Google Antigravity: The Most Cost-Effective Vibe Coding Tool

Recently, I've published a few articles praising Google:

The Best AI PPT Tool Turns Out to Be Nano Banana

Gemini is the Best Decision-Making Assistant Tool Today

As it happens, Google released another powerful product last month: Antigravity. One look and you can tell it's another VS Code wrapper.

Many people used to look down on wrappers. But now even Google is doing it. Wrapping isn't a bad thing. It avoids reinventing the wheel.

Before this, Cursor had been the benchmark for AI coding tools, or rather the best VS Code wrapper. Windsurf and others followed closely behind.

When Antigravity first came out, it kept crashing on my Mac, forcing me to abandon it. Only recently did I pick it up again.

Why I Say It Offers the Best Value

Let me start with my conclusion. Antigravity's Pro Plan subscription costs about the same as other tools, but what you get in return is on a completely different level.

The Pro Plan's core value is that you can use Claude Opus 4.5 many times a day (dozens of times). This is currently the most powerful coding model. If you were to subscribe to Anthropic's service separately and pay per API call, heavy users might spend hundreds of dollars per month. With Antigravity's Pro Plan, this cost is included in your subscription.

Beyond the model itself, Antigravity includes the most powerful web search capability I've seen. I tested it by asking for help researching a technical problem. Before starting any actual work, it automatically performed six or seven deep searches, gathering information from official documentation, GitHub Issues, Stack Overflow, and Reddit discussions, then synthesized everything into a comprehensive solution. This "research first, then act" approach is exactly what experienced developers do.

Real Test: Same Task, Greater Depth

I ran a simple comparison experiment. The same task, the same prompt, using Claude Opus 4.5 as the underlying model, running on both Antigravity and Windsurf.

The task was to write a technical article in MDX format, including code examples and SVG diagrams.

Antigravity produced over 300 lines of content in one go. The article structure was complete, code examples ran without modification, SVG diagrams were beautifully designed, and dark mode adaptation was automatically included. The entire process was smooth with no interruptions.

The same task on Windsurf, using the same Claude Opus 4.5, produced only about 200 lines. The content was complete, but noticeably less comprehensive.

Why this difference? My hypothesis is that Antigravity has optimized its Agent scheduling layer. It allows the model to "take a deep breath" and break complex tasks into multiple steps, thinking thoroughly about each step before outputting. Rather than simply throwing the prompt at the model and waiting for a one-shot response.

Deep Search Still Needs Google

Antigravity's web search functionality is fundamentally different from other tools. It doesn't simply search and summarize. It conducts genuine deep research.

I asked it to research "best practices for Next.js 15 App Router in 2025." Here's what it did:

First, it searched the official Next.js documentation to confirm the latest App Router API changes. Then, it checked the Next.js GitHub repository for recent commits and discussions to understand community feedback and the official perspective. Next, it searched Reddit and X for actual developer experiences. Finally, it reviewed several in-depth technical blog analyses.

The entire process involved 6 searches, each with different keywords, continuously adjusting its approach. The final recommendations included official best practices, community-validated real-world experiences, and pitfall warnings.

This deep search capability is particularly valuable for technical writing. When writing a tech article, I no longer need to hunt through various platforms for information myself. I tell Antigravity what topic I want to write about, it handles all the preliminary research, and I just need to add my own insights based on actual experience.

Nano Banana On Demand

Nano Banana is Antigravity's built-in image generation feature, based on Google's Gemini 3 Pro Image model. It might be the most convenient AI image generation tool I've ever used.

What makes it convenient? First, it's right inside the editor. No switching to other applications. Second, it understands context. When I'm writing an article about database architecture and ask it to "draw a diagram of this architecture," it knows what I mean and generates an appropriate image based on the article content. Third, generated images can be inserted directly into documents. No downloading and uploading back and forth.

My main use cases are article illustrations and UI prototypes. When technical articles need images, rather than spending time finding images or drawing manually, I just ask Nano Banana to generate one. Not every image is perfect, but they're more than adequate for illustrations.

Worth mentioning is that Nano Banana Pro's text rendering capability is excellent. The biggest problem with AI-generated images used to be garbled text, but images from Nano Banana have clear, readable text in both English and Chinese. This is extremely useful for scenarios requiring labeled images.

Translation Quality Comparison

This is another highlight I discovered.

I had a technical book manuscript that needed English translation. I previously tried using Codex 5.1 Max for this, and found the translated articles had numerous omissions. Some paragraphs weren't translated at all, some technical terms were handled incorrectly, and overall quality required extensive manual proofreading.

The same task on Antigravity's Claude Opus 4.5 produced completely different results. It not only translated all content completely but also proactively flagged potential issues in the original text. In other words, what Codex couldn't handle still needed Antigravity's Claude Opus to clean up.

The Agent-First Work Mode

The fundamental difference between Antigravity and Cursor or Windsurf lies in its "Agent-First" design philosophy.

Traditional AI coding tools operate in "assistance" mode. You write code while AI helps with completion and suggestions. You're the driver. AI is the copilot.

Antigravity's mode is different. You tell it what to do, then it goes and does it. It plans tasks, searches for information, writes code, runs tests, and checks results. The entire workflow completes automatically. You become the "task manager." AI becomes the "execution team."

This mode is particularly suited for certain scenarios:

First is rapid prototyping. When you have an idea you want to validate quickly, tell Antigravity what you want, and it can generate a runnable prototype within minutes.

Second is repetitive tasks. Like adding type annotations to a batch of files, or migrating a component library from Vue to React. These tasks are tedious to do manually, but perfect for Agents.

Third is learning new technologies. Ask it to build a small project using a framework you're unfamiliar with. It explains as it works, far more efficient than reading documentation.

But this highly autonomous mode also carries risks. A Reddit user shared that Antigravity's Agent accidentally deleted an entire hard drive while attempting to clean cache files. This case reminds us that the more autonomous the tool, the more cautious we need to be. Backups and permission controls are essential.

Is the Pro Plan Quota Actually Enough?

This is a question many people care about.

I use the Pro Plan, averaging maybe thirty to fifty uses per day. I haven't counted exactly.

Google AI Ultra subscribers get even higher quotas with shorter refresh cycles (every 5 hours). For non-subscribers, free quota refreshes weekly.

Shortcomings

After covering the positives, let's discuss the issues.

Mainly stability. Antigravity is still a newly released product, and occasional bugs appear. Sometimes an Agent execution freezes midway, or the browser preview feature fails to load. These issues aren't fatal and usually resolve with a refresh, but they definitely impact workflow smoothness.

When I Use Antigravity vs. Other Tools

After this period of use, I've developed my own tool selection logic.

For important tasks, I prioritize Antigravity. Its Agent mode appears stronger than Cursor and Windsurf.

When quota runs low, I use Codex and Windsurf as supplements.

The principle remains the same: if you can use the best model, use the best model.

The best model can compensate for tool shortcomings to some extent.