AI assistants and search decision

Google Gemini

A chat UI is easy, but Gemini's model access, Google ecosystem integration, multimodality, storage tie-ins, and platform distribution are not solo-buildable.

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You pay

$19.99/mo

$240/yr

Read off the official pricing page.

You’d pay instead

$100one-off40 h to build

$0/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 1 seat.

The code exists. It is not what you are paying for.

This project is real, published, and does the core job — and this page still says keep paying. What the subscription buys is proprietary models, integration maintenance and infrastructure at scale, and none of that ships in a repository. Fork it anyway if you want to. Go in knowing what it does not carry. What stays hard ↓ · All Google Gemini alternatives, with the arithmetic →

What a replacement has to do

  • Build a multi-model chat app with document upload and optional Google API integrations.

What it still won’t have

  • frontier models
  • Google app integrations
  • mobile/native distribution
  • multimodal stack
  • reliability

What remains hard

  • Proprietary models
  • Integration maintenance
  • Infrastructure at scale
Read the build prompt

First-year cost

The build hours below are a category default, not an estimate for this product. Change them to your own numbers and the comparison follows.

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build me a personal chat client on the Gemini API to replace my Google AI Pro
subscription with per-token billing. Requirements:

- A local web app: Node + Express + better-sqlite3, one page, binds to
  localhost.
- Gemini API key in .env, with optional Claude and OpenAI keys too; a model
  picker per conversation.
- Streaming responses with Markdown and code-block rendering; history in SQLite
  with FTS5 search across old conversations.
- Upload PDFs and images and pass them through to models that accept them.
- System-prompt presets as .md files in ./prompts/, selectable per chat.
- Export any conversation to a Markdown file.
- No accounts, no telemetry; history stays on my machine, only prompts go to
  the APIs.
- Out of scope: Gmail, Docs, and Drive integrations, and mobile apps. Do not
  build Google Workspace OAuth; that ecosystem tie-in is the subscription.
- README: where to create each API key, a rough cost table per model, and state
  that per-token billing can land above or below $20/month depending on use,
  the model itself is only rentable.
How we checkedno sources · evidence score 22