Fastino's open-weight decision model. A DeBERTa-v3-large encoder that scores label sets supplied at runtime, answers single-label, multi-label, yes/no and ordinal questions in one pass, and extracts spans and relations.
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, extract, route
choice, score, noul
Architecture
gliner2
startlux-decision
Fine-tuned from
fastino/gliner2-large-v1
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License
apache-2.0
cc-by-nc-4.0
Availability
Open weights + hosted API
Open weights
Hosted by
Fastino
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Input price
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Decision accuracy
60.2%
88.3%
Calibration error
—
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Valid action rate
—
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Median latency
38.3 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 gliner2-5-decide and startlux-decision?
gliner2-5-decide is from Fastino Labs and startlux-decision from StartLux. gliner2-5-decide has open weights and a hosted API; startlux-decision has open weights you can download and run. Both answer choice, score and noul questions. Only gliner2-5-decide answers classify, extract and route. gliner2-5-decide is the smaller model, at 340M parameters to 4.7B. gliner2-5-decide is licensed apache-2.0; startlux-decision, cc-by-nc-4.0.
Which is more accurate, gliner2-5-decide or startlux-decision?
They report on different suites — gliner2-5-decide 60.2% on Fastino fast-decisions suite (17 datasets), 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, gliner2-5-decide or startlux-decision?
gliner2-5-decide: Hosted, price not published, or free to self-host. startlux-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, gliner2-5-decide or startlux-decision?
By their publishers’ figures, startlux-decision answers in about 26 ms at the median and gliner2-5-decide in about 38.3 ms — measured on different hardware, so treat it as a rough guide.
Can I run gliner2-5-decide or startlux-decision locally?
Yes, both: systemone pull fastino-labs/gliner2-5-decide and systemone pull startlux/startlux-decision download the weights.
Evaluation suite
Fastino fast-decisions suite (17 datasets)
JevBench public set (231 items; 204 correct), maker's run
