tl;dr: EEBench evaluates AI models on circuit design using atopile's declarative code format, running deterministic SPICE simulations against real component tolerances, cost, and specs rather than idealized values. On the current leaderboard, Claude Opus 5 leads at 61.6%, followed by Grok 4.6 at 57.1%, while OpenAI's GPT-5.5 trails at 42.3%; xAI notably included EEBench in Grok 4.6's model card. The benchmark covers analog/digital design through simulation but not yet layout, manufacturing, or bring-up.