Google Antigravity top-up budget

Antigravity Credits Calculator

Estimate whether a Google Antigravity credit budget can cover your agent runs after included AI Pro or AI Ultra usage starts to feel tight. Model task type, repeated runs, cache share, loop complexity, and top-up budget before buying extra credits.

Calculate credits Compare plan limits Gemini API pricing
Modeled month $0.00
Budget covers 0 runs
Updated May 26, 2026

Why an Antigravity credits page is useful now

Google's 2026 subscription updates changed the way many users need to think about Antigravity. Google says it is moving from simple daily prompt limits toward compute-based usage, where the work done by a model matters more than the number of visible prompts. That matters for agentic coding because one visible request can trigger planning, file reads, tool calls, web research, code execution, retries, context compaction, and a final answer. A short chat and a multi-step agent run may look similar in a product UI, but they are not similar in compute usage.

Google also says AI Pro and AI Ultra subscribers can buy pay-as-you-go top-up AI credits for Google Antigravity. That creates a practical question: if you add a credit budget, how many useful agent runs does it actually buy? This page answers that operational question. It does not try to guess your private account quota. Instead, it models a workload from repeated task types and compares the estimated cost with a credit budget you control.

How the calculator models credits

The calculator uses the same Antigravity run assumptions as the site limit calculator. Research, content, design, data analysis, and complex build tasks each have different input and output token shapes. The model applies a cache share because repeated project context should often be cheaper than fresh context, then applies a loop multiplier for agent runs that need more tool calls or longer recovery paths. The result is displayed as an estimated monthly dollar value and a run count covered by your credit budget.

The budget field is intentionally simple. Enter the amount you would be willing to spend on top-up credits in USD. If Google exposes a different credit unit inside the app, treat this as a dollar-denominated planning layer and confirm the exact unit in the product before purchasing. The page is designed for decisions such as "is a $25 top-up enough for a weekend experiment," "does $100 cover a launch sprint," or "should this workflow move to Gemini API with explicit budget caps instead of interactive Antigravity usage."

Workflow Credit risk Before buying more credits
Small code edit or focused bug fix Usually low if context is scoped. Point the agent at specific files and ask for a patch only.
Research brief or market scan Medium because web pages and source notes add context. Limit source count, require a checkpoint, and stop after an outline.
Data analysis with files Medium to high because retries and generated code can expand quickly. Run on a sample first, then scale after the method is correct.
End-to-end build or migration High because agents may loop over tests, dependencies, and multiple files. Split into discovery, plan, implementation, and verification runs.

Plan pressure vs top-up credits

Google's I/O 2026 developer note says the $100 AI Ultra plan includes a 5x higher Antigravity usage limit than Google AI Pro. Google's broader subscription update also describes a $200 Ultra plan with a 20x higher usage limit than Pro. This page uses those public ratios only as a relative pressure model. If the plan pressure is high but the top-up budget still covers the month, the next decision is not only price. It is whether the workflow is predictable enough to deserve more spending.

For example, a founder using Antigravity for three accepted production patches each week may be comfortable buying occasional credits. A team that burns credits on unclear prompts, abandoned branches, repeated dependency installs, or long explanations should not solve the problem by buying more allowance. It should tighten the workflow first. Good credit discipline starts with short tasks, explicit acceptance criteria, and a human stop point before the agent expands scope.

Recommended validation loop

  1. Run five real tasks with the smallest useful scope.
  2. Record task type, accepted output, visible time spent, and whether human rework was needed.
  3. Estimate cost per accepted result, not cost per run.
  4. Only buy top-up credits for workflows that repeatedly produce usable output.
  5. Move repeatable, backend-style workloads to API jobs when you need hard budget enforcement.

FAQ

Why does this page not show my exact Antigravity quota?

Google does not publish one simple public quota bucket for every account, region, and feature. The page models relative pressure and credit budget coverage. Your account page remains the source of truth.

Should I use AI Ultra or top-up credits?

Use AI Ultra when Antigravity is part of your normal workflow and you also value the other subscription features. Use top-up credits for bursty experiments or short launch windows where a permanent tier change is not justified.

What happened to the May 2026 bonus credits?

Google's developer highlight said the USD 100 Antigravity bonus credit offer expired on May 25, 2026. This page was updated on May 26, 2026, so it does not count that offer as active.

Sources

AI Code Limits is independent and is not affiliated with Google, Gemini, Google Antigravity, or Google AI Studio.