Jev is low-frontier not pareto optimal
I heard a lot about Jev - a new kind of model from TypeSafe. It’s available on OpenRouter. It’s quite low-cost: Input = 4.2c / MTok, Output = free. It only classifies or scores. It doesn’t generate text. So that’s useful for classification, fact-checking, evaluations, etc. I evaluated Jev on 77 data points from BANKING77 and tested Jev against other models. Summary: Yes, it’s cheap (7c per 1,000 classifications), but not much cheaper than DeepSeek V4.1 Flash (8c) or GPT 5.6 Luna (12c). It’s not that accurate (75%) compared with DeepSeek V4.1 Flash (79%) or GPT 5.6 Luna (83%). ...