Hey Product Hunt!

Over the last year, I've spoken with dozens of VPs, COOs, and founders who all want AI in their workflows. They keep running into the same question: "How much is this actually going to cost us?"

If you have token-level data, the providers have calculators for that. The harder problem is earlier in the process, before any code is written. You have a business case to build, a vendor proposal to evaluate, or a budget to defend, and the number you need isn't buried in a token pricing table.

That gap is where projects stall, or where companies get handed a five-figure API bill they never saw coming.

We built the AI Cost Estimator for the people making those decisions, not the engineers implementing them.

How it works

You input the business metrics you already know: expected monthly usage and the type of tasks they're performing (short customer support chats, long document analysis, or data extraction).

The estimator translates those inputs into, multi-provider cost forecasts, without requiring you to know what a token is.

What you get

Run-rate projections — monthly, quarterly, and annual spend, clearly laid out.
Provider comparisons — your costs across OpenAI, Anthropic, Gemini, and open-source models, side by side.
Hidden cost visibility — secondary costs like vector storage, processing loops, and guardrail layers are factored in, not buried.

Whether you're budgeting an upcoming AI initiative, want a second opinion on a proposal, or double check your own calculations, give it a spin at galdren.com/aicost.

I'd love your feedback. Which providers or features should we add next?

AI Cost Estimator

Estimate AI spend before committing budget

Estimate AI spend before committing budget