An open Jev-style decision model by Andy Zhang: a LoRA adapter on Gemma 4 26B-A4B (also on Gemma 4 12B) that reads a state and returns a temperature-calibrated probability for every option of a yes/no, choice or score question in one forward pass.
StartLux's decision family in six sizes, 0.8B to a 35B-A3B mixture of experts. All questions in a request are answered in one forward pass, with a probability for every option, through a TypeSafe /v1/systemone-compatible server. Text, JSON or images, up to 256K tokens.
Decides
choice, score, noul
choice, score, noul
Architecture
ajev
startlux-decision
Fine-tuned from
google/gemma-4-26b-a4b-it
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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
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88.3%
Calibration error
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Valid action rate
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Median latency
49 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 ajev and startlux-decision?
ajev is from Andy Zhang 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 26B. ajev is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, ajev or startlux-decision?
Only startlux-decision publishes an accuracy figure (88.3% on JevBench public set (231 items; 204 correct), maker's run); ajev does not, so there is no comparison to make without your own test.
Which is cheaper, ajev or startlux-decision?
ajev: Free (open weights). startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, ajev or startlux-decision?
By their publishers’ figures, startlux-decision answers in about 26 ms at the median and ajev in about 49 ms — measured on different hardware, so treat it as a rough guide.
Can I run ajev or startlux-decision locally?
Yes, both: systemone pull andy-zhang/ajev and systemone pull startlux/startlux-decision download the weights.
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Evaluation suite
Sequential requests, the maker's own measurement
JevBench public set (231 items; 204 correct), maker's run
