• token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
• tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
• eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
• benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.

Every new API key now carries 100M free tokens and 10x higher free-tier rate limits, enough headroom to benchmark against your current stack on production-like traffic instead of a toy sample.

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