AutoTrust's student of TypeSafe Jev 1.13. A frozen Qwen3.8-27B plus a 108.9M-parameter decision block trained on Jev's own output distributions; one set of weights answers typed questions in one pass (System 1) or generates text with the untouched base (System 2).
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
choice, score, noul, classify, route
Architecture
blocks-of-experts
xor
Fine-tuned from
qwen/qwen3.8-27b
qwen/qwen3.6-35b-a3b
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
—
—
Input price
—
—
Decision accuracy
88.7%
90.0%
Calibration error
—
0.073
Valid action rate
—
—
Median latency
137 ms
69 ms
p95 latency
—
162 ms
Evaluation suite
JevBench public set (231 items), family-macro score, maker's run
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 jev-27b and xor?
jev-27b is from AutoTrust AI Lab and xor from Juspay. Both have open weights you can download and run. Both answer choice, score and noul questions. Only xor answers classify and route. jev-27b is the smaller model, at 27B parameters to 35B.
Which is more accurate, jev-27b or xor?
They report on different suites — jev-27b 88.7% on JevBench public set (231 items), family-macro score, maker's run, 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, jev-27b or xor?
jev-27b: Free (open weights). xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, jev-27b or xor?
By their publishers’ figures, xor answers in about 69 ms at the median and jev-27b in about 137 ms — measured on different hardware, so treat it as a rough guide.
Can I run jev-27b or xor locally?
Yes, both: systemone pull autotrust-ai/jev-27b and systemone pull juspay/xor download the weights.
JevBench public set (231 items), maker's self-run of Xor 1.2
