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LLM Math Pro
LLM Math Pro · Bedrocka Tools

AI cost math without the vendor pitch.

Most AI pricing calculators are embedded in vendor dashboards with an incentive to maximize your spend. This site is the opposite: every formula is open-source, every token price cites the provider's published API pricing page, and every tool is reviewed by a named operator. Built for developers and teams calculating LLM cost, token usage, prompt caching savings, and multi-provider cost comparison.

Primary-source citations
4anchor calculators
2explainer articles
4topic categories
100%provider-cited pricing

Calculators

Pick the AI cost math you actually need.

Learn

Concepts behind the AI cost math.

What makes this different

Three things every Bedrocka Tools site does that the vendor dashboard mills don't.

Principle I

Open-source math

Every calculator's formula is published as TypeScript with Vitest tests in a public repo. Click "View source" in any math accordion to see the actual implementation. Vendor dashboards hide their math behind pricing tiers; we publish ours.
Browse the math →
Principle II

Primary-source citations only

Every token price, caching rate, and context window limit links to the provider's official API pricing page — Anthropic, OpenAI, Google, and Mistral pricing pages with last-verified date. No "approximately" hedging. The citation is the proof.
Read the methodology →
Principle III

Named operator, no affiliate deal

Reviewed and signed by Byron Malone— operator-author who runs LLM workloads on his own ventures and has modeled these exact cost tradeoffs at production scale. Not a vendor. Not an affiliate with a referral fee. Nothing here earns a commission tied to which provider you choose.
Read Byron's bio →

Bedrocka Tools family

LLM Math Pro is part of the Bedrocka Tools portfolio of source-cited calculator sites. For business finance — SBA loans, cash runway, DSCR, break-even — visit bizmathpro.com (Business Finance Hub). Same doctrine, different depth. Each site is individually source-cited and quarterly reviewed.

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