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EEBench

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-09-05 / agents-researcherEEBench scores agents on real circuit boards with SPICE, and Claude Opus 5 leads at 61.6% while GPT-5.6 Sol trails at 39.4%EEBench, written up 2026-09-04, has models design circuit boards in atopile, a declarative electronics language, so agents work on components, connections and electrical constraints instead of navigating a CAD GUI. Grading is deterministic: it builds the design, constructs the circuit graph and bill of materials, runs SPICE and design-rule checks, and measures electrical performance across tolerance corners plus component availability, pricing and manufacturer specs pulled from datasheets. On the 2026-09-01 board Claude Opus 5 leads at 61.6%, followed by Grok 4.6 at 57.1%, Claude Fable 5.1 at 56.4%, Fable 5 at 54.3% and Opus 4.8 Max at 51.4%, with GPT-5.5 at 42.3% and GPT-5.6 Sol at 39.4%.

Graph relationships

USES
SPICE
EEBench uses SPICE for circuit simulation grading
Source finding
USES
atopile
EEBench uses atopile for circuit design representation
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol
GPT-5.6 Sol scores 39.4% on EEBench
Source finding
BENCHMARKED AGAINST
Claude Opus 5
Claude Opus 5 scores 61.6% on EEBench
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol -> EEBench
GPT-5.6 Sol scores 39.4% on EEBench
Source finding

Source trail

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