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.
One of the earliest Jev-shaped scorers. A sequence-classification head on Qwen3.5-4B-Base scores each (state, question, option) triple and softmaxes per question. Non-commercial licence.
Decides
choice, score, noul, classify, extract, route
choice, score, noul, classify
Architecture
gliner2
scorer
Fine-tuned from
fastino/gliner2-large-v1
qwen/qwen3.5-4b-base
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%
70.7%
Calibration error
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0.044
Valid action rate
—
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Median latency
38.3 ms
112 ms
p95 latency
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Evaluation suite
Fastino fast-decisions suite (17 datasets)
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 system-one-qwen3-5-4b-scorer?
gliner2-5-decide is from Fastino Labs and system-one-qwen3-5-4b-scorer from pngwn. gliner2-5-decide has open weights and a hosted API; system-one-qwen3-5-4b-scorer has open weights you can download and run. Both answer choice, score, noul and classify questions. Only gliner2-5-decide answers extract and route. gliner2-5-decide is the smaller model, at 340M parameters to 4.0B. gliner2-5-decide is licensed apache-2.0; system-one-qwen3-5-4b-scorer, cc-by-nc-4.0.
Which is more accurate, gliner2-5-decide or system-one-qwen3-5-4b-scorer?
They report on different suites — gliner2-5-decide 60.2% on Fastino fast-decisions suite (17 datasets), system-one-qwen3-5-4b-scorer 70.7% on author-reported — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, gliner2-5-decide or system-one-qwen3-5-4b-scorer?
gliner2-5-decide: Hosted, price not published, or free to self-host. system-one-qwen3-5-4b-scorer: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, gliner2-5-decide or system-one-qwen3-5-4b-scorer?
By their publishers’ figures, gliner2-5-decide answers in about 38.3 ms at the median and system-one-qwen3-5-4b-scorer in about 112 ms — measured on different hardware, so treat it as a rough guide.
Can I run gliner2-5-decide or system-one-qwen3-5-4b-scorer locally?
Yes, both: systemone pull fastino-labs/gliner2-5-decide and systemone pull pngwn/system-one-qwen3-5-4b-scorer download the weights.
