Each rubric criterion is labeled Climb (harder criteria where frontier models still fail often) or Regression (baseline competence). For regression there is little separation between models at the top, with the leading seven models all between 95% and 97%, while Climb separates them, ranging from 28% to 57%.
Artificial Analysis reports model scores on Climb and Regression rubric criteria
AIArtificial Analysis says each rubric criterion is labeled Climb, for harder criteria where frontier models still often fail, or Regression, for baseline competence. On Regression, the leading seven models all score between 95% and 97%, so there is little separation at the top.
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Artificial Analysis · x.comPublished · added here
Original title: Each rubric criterion is labeled Climb (harder criteria where frontier models still fail often) or Regression (baseline competence). For ...