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.
FLock.io's typed-decision model, fine-tuned from Mapika's decider-2b. Reads one hidden state per question and scores the declared options, so an answer outside the list cannot occur; several questions about one state share a forward pass.
Decides
choice, score, noul
choice, score, noul
Architecture
startlux-decision
this-that
Fine-tuned from
—
mapika/decider
License
cc-by-nc-4.0
mit
Availability
Open weights
Open weights
Hosted by
—
—
Input price
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—
Decision accuracy
88.3%
87.8%
Calibration error
—
—
Valid action rate
—
—
Median latency
26 ms
31.4 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 startlux-decision and this-that-model?
startlux-decision is from StartLux and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. this-that-model is the smaller model, at 1.9B parameters to 4.7B. startlux-decision is licensed cc-by-nc-4.0; this-that-model, mit.
Which is more accurate, startlux-decision or this-that-model?
They report on different suites — startlux-decision 88.3% on JevBench public set (231 items; 204 correct), maker's run, this-that-model 87.8% on limberc/this-that-complex-decisions (1,710 questions, FLock's benchmark) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, startlux-decision or this-that-model?
startlux-decision: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, startlux-decision or this-that-model?
By their publishers’ figures, startlux-decision answers in about 26 ms at the median and this-that-model in about 31.4 ms — measured on different hardware, so treat it as a rough guide.
Can I run startlux-decision or this-that-model locally?
Yes, both: systemone pull startlux/startlux-decision and systemone pull flock-io/this-that-model download the weights.
Evaluation suite
JevBench public set (231 items; 204 correct), maker's run
