An independent Jev-shaped reproduction on DeBERTa-v3-large. One state and any number of choice, score and yes/no questions go in, and a calibrated distribution per question comes out of one forward pass. Public gold labels only.
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, classify
choice, score, noul
Architecture
open-jev
startlux-decision
Fine-tuned from
microsoft/deberta-v3-large
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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
85.4%
88.3%
Calibration error
0.022
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Valid action rate
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Median latency
28 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 open-jev-deberta-v3-large and startlux-decision?
open-jev-deberta-v3-large is from Kotoba Labs and startlux-decision from StartLux. Both have open weights you can download and run. Both answer choice, score and noul questions. Only open-jev-deberta-v3-large answers classify. open-jev-deberta-v3-large is the smaller model, at 434M parameters to 4.7B. open-jev-deberta-v3-large is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, open-jev-deberta-v3-large or startlux-decision?
They report on different suites — open-jev-deberta-v3-large 85.4% on Kotoba held-out test, seen question types (banking77, SST-5, BoolQ), 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, open-jev-deberta-v3-large or startlux-decision?
open-jev-deberta-v3-large: Free (open weights). startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, open-jev-deberta-v3-large or startlux-decision?
By their publishers’ figures, startlux-decision answers in about 26 ms at the median and open-jev-deberta-v3-large in about 28 ms — measured on different hardware, so treat it as a rough guide.
Can I run open-jev-deberta-v3-large or startlux-decision locally?
Yes, both: systemone pull kotoba-labs/open-jev-deberta-v3-large and systemone pull startlux/startlux-decision download the weights.
Evaluation suite
Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)
JevBench public set (231 items; 204 correct), maker's run
