Sofron is a combination-architecture coding agent: its own model weights (v7) paired with advisory teacher models (GLM-5.2 and DeepSeek) gathered in parallel as candidates on each problem. Sofron synthesizes its own final answer from their input, using its own judgment as the foundation rather than deferring to any single advisor.

This is a metadata-only repository. No model weights are hosted here; it exists to record a real, execution-graded, self-reported benchmark result with a citable, verifiable source.

Contact / homepage: https://sofron.one

Full methodology, raw results log, and harness scripts: https://github.com/s4h8a/sofron-benchmark-results

Sofron combines advisory input from external teacher models with its own model weights — it is not a frontier proprietary model. This result should be read as an honest, real placement rather than a state-of-the-art claim.