• benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• 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.

Agent loops multiply latency and cost across dozens of calls per task. A model holding a 78% PinchBench success rate at the fastest execution time and under $1 per million tokens changes how many steps you can afford to run.

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