A family of open System One models by Mark Marosi, decider-0.8b, decider-2b, decider-4b and decider-35b-a3b on Qwen3.5 bases, that softmax letter logits at an answer slot. This page carries decider-2b v11.
The first System One model. Reads a state, answers typed Choice, Score and Noul questions in one call with calibrated probabilities, and generates no text. Closed weights, served by TypeSafe AI.
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between decider and jev?
decider is from Mapika and jev from TypeSafe AI. decider has open weights you can download and run; jev is only available as a hosted API. Both answer choice, score, noul, classify and route questions. decider is licensed apache-2.0; jev, proprietary.
Which is more accurate, decider or jev?
Only decider publishes an accuracy figure (75.2% on Decider regression set, 28 held-out tasks (decider-2b v11)); jev does not, so there is no comparison to make without your own test.
Which is cheaper, decider or jev?
decider: Free (open weights). jev: $0.042 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run decider or jev locally?
decider yes — systemone pull mapika/decider downloads its weights. The other is only served as a hosted API.
