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).
StartLux's decision family in five sizes, 0.8B to 27B. All questions in a request are answered in one forward pass, with a probability for every option, through a TypeSafe /v1/systemone-compatible server that records CUDA graphs for short requests.
Decides
choice, score, noul
choice, score, noul
Architecture
blocks-of-experts
startlux-decision
Fine-tuned from
qwen/qwen3.8-27b
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License
apache-2.0
cc-by-nc-4.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
88.7%
88.3%
Calibration error
—
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Valid action rate
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Median latency
137 ms
26 ms
p95 latency
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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 startlux-decision?
jev-27b is from AutoTrust AI Lab and startlux-decision from StartLux. Both have open weights you can download and run. Both answer choice, score and noul questions. startlux-decision is the smaller model, at 4.7B parameters to 27B. jev-27b is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, jev-27b or startlux-decision?
They report on different suites — jev-27b 88.7% on JevBench public set (231 items), family-macro score, maker's run, startlux-decision 88.3% on JevBench public set (231 items; 204 correct), maker's run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jev-27b or startlux-decision?
jev-27b: Free (open weights). startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, jev-27b or startlux-decision?
By their publishers’ figures, startlux-decision answers in about 26 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 startlux-decision locally?
Yes, both: systemone pull autotrust-ai/jev-27b and systemone pull startlux/startlux-decision download the weights.
Evaluation suite
JevBench public set (231 items), family-macro score, maker's run
JevBench public set (231 items; 204 correct), maker's run
