Updated
A 612-row banking-feed test puts Jev under two Gemini rows on accuracy
Peter posted a categorization run on 612 sanitized rows from a private banking-feed set of about 33,000. Jev 1.13 scored 36.1% in 6 seconds at $0.023. Gemini 2.5 Flash scored 37.3% in 95 seconds. Gemini 3.7 Flash scored 42.5% in 78 seconds. The post names no repository and no category list.
meraGPT posts Decider 1 ahead of Jev on a teacher-labelled set
Latent Node posted Decider 1 (sd-1), a hosted model that answers noul, choice, and score questions in one call. The blog's table is accuracy 0.768 against Jev 1.13.0 at 0.727. The labels are an average of teacher samples. The Hugging Face viewer lists 1,600 rows. The blog says 400 cases and 2,000 decisions.