About LLM Economics

Why We Built This

Every week, thousands of developers and founders make consequential decisions about which AI model to use, how to price their product, and whether their AI business can actually be profitable. Most of them are flying blind — using back-of-napkin math, outdated pricing screenshots, or nothing at all.

LLM Economics exists to fix that. We provide interactive, decision-grade calculators that don't just return a number — they return a recommendation, a cost comparison, a savings estimate, and the exact next step you should take.

Who Uses LLM Economics

• AI engineers deciding between GPT-5, Claude and Gemini for their production workload
• SaaS founders building AI-powered products who need to set a profitable price
• Agent teams estimating infrastructure cost before committing to an architecture
• Creators and content businesses understanding their true monetization economics
• Investors and operators benchmarking AI unit economics against industry standards

How Every Calculation Works

Every calculator is built on a pure function that takes versioned JSON configuration and user inputs, and returns structured output including cost, comparison, benchmark, and recommendation. No black boxes. All formulas are documented on the Methodology page.

Pricing rates and benchmark assumptions are stored in versioned configuration with a published date and source links. Provider pricing, regions, tools, and product terms can change, so confirm them on the provider's page before committing spend. See Data Sources for the full list.

Where Our Data Comes From

The Problem We Are Solving

AI pricing is unusually complex — it combines token-level billing, cache discounts, batch rates, model tiers, and per-provider quirks. Even experienced engineers get it wrong. We built LLM Economics to provide a single reference that turns pricing complexity into a repeatable estimate with visible assumptions.

All results are estimates. See our Disclaimer for full details on limitations.