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.
Juspay's open decision model. Qwen3.6-35B-A3B with a merged rank-16 LoRA, shipped with a pinned SGLang serving bundle that answers Choice, Score and Noul questions over text, images or a video through a TypeSafe-compatible /v1/systemone API.
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 xor?
decider is from Mapika and xor from Juspay. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. decider is the smaller model, at 1.9B parameters to 35B.
Which is more accurate, decider or xor?
They report on different suites — decider 75.2% on Decider regression set, 28 held-out tasks (decider-2b v11), xor 90.0% on JevBench public set (231 items), maker's self-run of Xor 1.2 — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, decider or xor?
decider: Free (open weights). xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decider or xor locally?
Yes, both: systemone pull mapika/decider and systemone pull juspay/xor download the weights.
JevBench public set (231 items), maker's self-run of Xor 1.2