An open family of System One models. A LoRA adapter plus a pointer head on a frozen Qwen base returns a distribution per typed question in one forward pass, serves TypeSafe's /v1/systemone contract, and ships a fitted temperature with every checkpoint.
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.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
kev
xor
Fine-tuned from
qwen/qwen3.5-4b-base
qwen/qwen3.6-35b-a3b
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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—
Input price
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Decision accuracy
83.8%
90.0%
Calibration error
0.042
0.073
Valid action rate
—
—
Median latency
—
69 ms
p95 latency
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162 ms
Evaluation suite
transfer-v4 (locked, out of domain)
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 kev and xor?
kev is from Jared Palmer and xor from Juspay. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. kev is the smaller model, at 4.0B parameters to 35B.
Which is more accurate, kev or xor?
They report on different suites — kev 83.8% on transfer-v4 (locked, out of domain), 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, kev or xor?
kev: Free (open weights). xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run kev or xor locally?
Yes, both: systemone pull jared-palmer/kev and systemone pull juspay/xor download the weights.
JevBench public set (231 items), maker's self-run of Xor 1.2
