The flagship of the vLLM Semantic Router team's Decision 1.0 family. Qwen3.5-9B with a shared candidate head returns a probability for every supplied answer to choice, yes/no and score questions, over a 16,384-token input.
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 decision and xor?
decision is from vLLM Semantic Router and xor from Juspay. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. decision is the smaller model, at 9.0B parameters to 35B.
Which is more accurate, decision or xor?
They report on different suites — decision 77.4% on vLLM-SR decision benchmark (54 tasks, 3,766 decisions, weighted), 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, decision or xor?
decision: Free (open weights). xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decision or xor locally?
Yes, both: systemone pull vllm-semantic-router/decision and systemone pull juspay/xor download the weights.
JevBench public set (231 items), maker's self-run of Xor 1.2
