Right after Google I/O in May, I found myself re-evaluating my own plan. A new mid-tier — AI Ultra at $100/month — appeared out of nowhere, and the top-end plan got a price cut. Until then the decision had been a simple binary: stay on Pro, or jump to the expensive top tier. That framing no longer holds.
Here is the thing about Antigravity usage: it swings wildly from day to day. On days when I run agents in parallel across several repositories, I hit the ceiling. On days when I mostly use editor completions, I barely consume anything. That is why I think plan selection should be based not on your average usage, but on how often you hit the limit. This article lays out the plan structure as of June 2026 and the practical criteria I use to draw the line.
One caveat up front: prices and plan names keep changing. The figures here are current as of June 2026 — check the official Antigravity site before you commit.
The Plan Lineup as of June 2026
Antigravity is not billed as a standalone product; access is tied to the Google AI subscription tiers. The lineup was revised when Antigravity 2.0 launched at I/O 2026.
| Plan | Monthly (USD) | Who it's for |
|---|---|---|
| Free tier | $0 | Evaluation and learning; low ceilings |
| Google AI Pro | $20 | The standard line for solo developers |
| AI Ultra | $100 | Added at I/O 2026; roughly 5x Pro's limits |
| Top-tier Ultra | $200 | Cut from $250; heavy and business use |
Two things stand out. First, AI Ultra ($100) finally gives a home to people for whom Pro is not enough but $200 is too much. Second, the legacy Gemini CLI and Code Assist extension shut down on June 18, which consolidates CLI usage into the Antigravity CLI under this same tier structure.
How Far the Free Tier Goes
The free tier is perfectly adequate for answering one question: "Is Antigravity the right tool for me?" Core editor features, one-off agent runs, code completions — all of that works.
But the moment you start delegating tasks to agents and walking away, you will hit the free ceiling early. In my experience, a handful of consecutive agent requests is often enough to end the day's allowance. The free tier simply is not designed to be a daily development driver.
Flip that around, though, and it works well as a one-to-two-week evaluation window. No credit card required. My recommendation: observe your own usage pattern on the free tier first, and let that data drive the paid decision.
Who Pro ($20/month) Is Enough For
The criterion is simple: do you run agents in parallel, or not?
Pro covers you comfortably if your usage looks like this:
- Mostly editor completions and refactoring
- A few agent requests per day, one at a time, sequentially
- Rarely spinning up a second agent while waiting on the first
When I spend a day focused on a single project, working sequentially, I almost never hit Pro's ceiling. For an indie developer's rhythm — building solo, using agents intermittently through the day — $20 is the sensible default.
One caution: what happens when you do hit the limit. Work stops until the quota resets. If you stack agent-dependent work right before a deadline, the stoppage translates directly into lost hours. If that happens to you several times a month, it is time to look at Ultra.
The Break-Even Point for AI Ultra ($100/month)
AI Ultra gives you roughly five times Pro's limits for an extra $80 a month. The question is whether the hours you currently lose to quota ceilings are worth more than that $80.
Here is the calculation I suggest.
- Count how many times the limit stopped your work over the past two weeks
- Estimate the cost per stoppage — the wait, plus the context-switch to other work (for me it is around 30 minutes)
- If stopped time × your hourly rate exceeds $80/month, you are in Ultra territory
If you run parallel agents routinely, you are almost certainly in that territory. Parallel orchestration is the headline feature of Antigravity 2.0, and running three or four agents at once consumes several times what sequential work does. If your workflow is built around parallelism, choosing AI Ultra from the start is more productive than rationing parallel runs to stay under a Pro ceiling.
The top-tier Ultra ($200) is sized for all-day agent workloads and team-scale use. As a solo developer you are unlikely to need it on day one — despite the price cut from $250, I would confirm you are actually saturating AI Ultra before going higher.
Living with Opaque Quotas — a One-Week Measurement
To be candid: Antigravity's visibility into "how much do I have left" is weak right now. Exact limits are not published, and they appear to vary by model and load. After several months of use, my conclusion is that measuring your own pattern beats hunting for official numbers.
The method is trivial — log only the moments you hit the ceiling.
# When you hit the limit, one line in the terminal (agents= how many were running in parallel)
echo "$(date '+%m/%d %H:%M') hit-limit agents=2" >> ~/antigravity-usage.logAfter a week or two, your pattern becomes visible in numbers.
- Hitting the limit 0–1 times a week → stay on Pro
- Hitting it only on parallel-heavy days → AI Ultra, depending on how often those days occur
- Hitting it almost daily → AI Ultra now; consider the top tier if it persists
Plans can be changed month to month, so "upgrade to Ultra for crunch periods, drop back to Pro afterward" is a perfectly realistic way to run it.
Stretching Your Quota Before Upgrading
Before paying more, there is usually room to consume less. Three things that have measurably helped me:
Match the model to the task. Antigravity 2.0's default engine is Gemini 3.5 Flash, and it handles routine code generation and refactoring well. Switch to a heavier model only for genuinely hard reasoning — design decisions, tricky debugging. Running everything on a top model multiplies consumption for the same amount of work.
Write specific requests. "Fix this function" costs more than "rewrite this with a ternary: return 'positive' if the input is greater than 0, 'zero' if it equals 0, 'negative' otherwise" — because vague prompts produce output you throw away. Discarded output is the most expensive thing you can buy.
Offload light tasks to a local model. Classification, formatting, short summaries — work like this can go to a locally hosted Gemma 4 and consume zero quota. I covered the setup in Running Gemma 4 in Antigravity — Ollama Setup and a Realistic Local/Cloud Split.
A June-Specific Note: the Gemini CLI Shutdown on June 18
One more thing specific to June 2026. The legacy Gemini CLI and Code Assist extension stop working on June 18 for the free tier, Pro, and Ultra alike, replaced by the Antigravity CLI.
The migration itself costs nothing, but if your quota habits were calibrated against the old CLI, expect the consumption profile to feel different afterward. If the CLI is your primary interface, treat your first week after migration as the measurement week described above — it will keep your plan decision grounded. For the broader 2.0 changes, see Google Antigravity May 2026 Updates: New Features and What Changed.
Count for a Week, Then Decide
The right plan differs from person to person, but the way to decide is the same. Starting today, spend one week recording just two numbers: how many times you hit the limit, and how many agents were running in parallel when it happened. With those numbers, you can calculate for yourself whether $20 or $100 is the cheaper plan.
Prices will keep moving. The numbers in this article will eventually go stale — but the principle of deciding by how often you hit the ceiling will not. Keep the measurement habit, and the next pricing change will be easy to navigate. I hope this helps you pick a plan with confidence.