Google's "AI Ultra" Is a Storage Plan Disguised as a Dev Tool(one.google.com)
one.google.com
Google's "AI Ultra" Is a Storage Plan Disguised as a Dev Tool
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6 comments
This breaks the principle of value alignment. Developers value API credits and rate limits, not storage or web UIs. When pricing ignores that, it creates double pay and churn.
I’ve been paying $125/mo (promo pricing for the $250/mo tier) for Google’s top-tier “AI Ultra” subscription for about a month.
I signed up because I’m a power user. I manage large repos, build my own MCP tools, and live in the terminal. I assumed “Ultra” meant “Pro Developer.”
I was wrong. I downgraded to the $20/mo plan today. Here’s why other developers should probably avoid the top tier.
The “Double Pay” paradox
The subscription gives you:
The Web UI (Gemini Advanced)
30TB of storage
It gives you:
Zero API credits
If you use modern AI coding tools like Aider, Cursor, or your own CLI scripts, you still pay per-token for the API.
My bill:
$125/mo for the subscription
~$50/mo for API usage
Reality: I was effectively donating $125/mo to Google for a Web UI I barely use, because I work in the CLI.
The “official” CLI is broken
I tried to use the official gemini-cli to avoid API costs. It’s unusable for agentic work.
There’s a known, persistent bug where the CLI crashes with a 400 Bad Request error whenever the model attempts parallel tool calling (a standard model feature).
Error: “Please ensure that the number of function response parts is equal…”
These issues have been open for months:
Broken auth: https://github.com/google-gemini/gemini-cli/issues/11925
Parallel tool crash: https://github.com/google-gemini/gemini-cli/issues/13292
Shipping the org chart
The pricing only makes sense if you look at Google’s internal structure:
Google One wants to sell storage (30TB bundle)
Google Cloud wants to sell APIs (Vertex)
DeepMind wants to ship models
“AI Ultra” is a Franken-product stitched together by the storage team. There’s no billing concept for “individual developer who needs API credits,” so instead you’re forced to buy a data center’s worth of hard drives.
The feedback black hole
There’s no way to get this feedback to someone who can act on it. You can’t file a ticket that says “your pricing model ignores developers.” You just shout into a generic feedback form.
The fix: unbundle the intelligence
What’s needed is a real Developer Tier:
Give me: high API rate limits + API credits
Charge me: fairly for what I use
Until that exists, I’ve downgraded to the $20/mo plan and moved the rest of my AI budget to Anthropic.
I signed up because I’m a power user. I manage large repos, build my own MCP tools, and live in the terminal. I assumed “Ultra” meant “Pro Developer.”
I was wrong. I downgraded to the $20/mo plan today. Here’s why other developers should probably avoid the top tier.
The “Double Pay” paradox
The subscription gives you:
The Web UI (Gemini Advanced)
30TB of storage
It gives you:
Zero API credits
If you use modern AI coding tools like Aider, Cursor, or your own CLI scripts, you still pay per-token for the API.
My bill:
$125/mo for the subscription
~$50/mo for API usage
Reality: I was effectively donating $125/mo to Google for a Web UI I barely use, because I work in the CLI.
The “official” CLI is broken
I tried to use the official gemini-cli to avoid API costs. It’s unusable for agentic work.
There’s a known, persistent bug where the CLI crashes with a 400 Bad Request error whenever the model attempts parallel tool calling (a standard model feature).
Error: “Please ensure that the number of function response parts is equal…”
These issues have been open for months:
Broken auth: https://github.com/google-gemini/gemini-cli/issues/11925
Parallel tool crash: https://github.com/google-gemini/gemini-cli/issues/13292
Shipping the org chart
The pricing only makes sense if you look at Google’s internal structure:
Google One wants to sell storage (30TB bundle)
Google Cloud wants to sell APIs (Vertex)
DeepMind wants to ship models
“AI Ultra” is a Franken-product stitched together by the storage team. There’s no billing concept for “individual developer who needs API credits,” so instead you’re forced to buy a data center’s worth of hard drives.
The feedback black hole
There’s no way to get this feedback to someone who can act on it. You can’t file a ticket that says “your pricing model ignores developers.” You just shout into a generic feedback form.
The fix: unbundle the intelligence
What’s needed is a real Developer Tier:
Give me: high API rate limits + API credits
Charge me: fairly for what I use
Until that exists, I’ve downgraded to the $20/mo plan and moved the rest of my AI budget to Anthropic.
The number of times I've used GCP products and they barely work, really tells me normal engineers don't test the products only wizards that think things are functional.
You are looking for Gemini Standard Edition that for $300 gives you $1000 API credits among other perks.
Gemini CLI still isn't usable though despite higher limits.
Gemini CLI still isn't usable though despite higher limits.
https://developers.google.com/program/plans-and-pricing
Am I in the right place here?
(so confused at google's plans and pricing)
Am I in the right place here?
(so confused at google's plans and pricing)
Title: Google One: More storage and Google AI in one subscription