FrontiersMind's decision model on a base it pre-trained from scratch. Each question reads the state and its own tokens once and a 256-dimension pointer head scores the options; Choice and Score take up to 255 entries, and nothing is generated.
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
lumma-fev
startlux-decision
Fine-tuned from
frontiersmind/lumma-0.6b-base
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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
64.0%
88.3%
Calibration error
—
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Valid action rate
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Median latency
45.8 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 lumma-fev and startlux-decision?
lumma-fev is from FrontiersMind and startlux-decision from StartLux. Both have open weights you can download and run. Both answer choice, score and noul questions. lumma-fev is the smaller model, at 649M parameters to 4.7B. lumma-fev is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, lumma-fev or startlux-decision?
They report on different suites — lumma-fev 64.0% on typed-decisions (maker's table; split not stated), 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, lumma-fev or startlux-decision?
lumma-fev: Free (open weights). startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, lumma-fev or startlux-decision?
By their publishers’ figures, startlux-decision answers in about 26 ms at the median and lumma-fev in about 45.8 ms — measured on different hardware, so treat it as a rough guide.
Can I run lumma-fev or startlux-decision locally?
Yes, both: systemone pull frontiersmind/lumma-fev and systemone pull startlux/startlux-decision download the weights.
Evaluation suite
typed-decisions (maker's table; split not stated)
JevBench public set (231 items; 204 correct), maker's run
