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.
A multimodal decision classifier over text, image, audio and video on Gemma 4 12B, fine-tuned on 30,000 questions. Returns a probability per option and generates nothing.
Decides
choice, score, noul, classify, extract, route
choice, noul, score, classify
Architecture
gliner2
jev-omni
Fine-tuned from
fastino/gliner2-large-v1
google/gemma-4-12b-it
License
apache-2.0
apache-2.0
Availability
Open weights + hosted API
Open weights
Hosted by
Fastino
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Input price
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Decision accuracy
60.2%
87.6%
Calibration error
—
0.040
Valid action rate
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Median latency
38.3 ms
83 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 jev-omni?
gliner2-5-decide is from Fastino Labs and jev-omni from akhilaaa3. gliner2-5-decide has open weights and a hosted API; jev-omni 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 12B.
Which is more accurate, gliner2-5-decide or jev-omni?
They report on different suites — gliner2-5-decide 60.2% on Fastino fast-decisions suite (17 datasets), jev-omni 87.6% on DecisionBench Medium (author's set) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, gliner2-5-decide or jev-omni?
gliner2-5-decide: Hosted, price not published, or free to self-host. jev-omni: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, gliner2-5-decide or jev-omni?
By their publishers’ figures, gliner2-5-decide answers in about 38.3 ms at the median and jev-omni in about 83 ms — measured on different hardware, so treat it as a rough guide.
Can I run gliner2-5-decide or jev-omni locally?
Yes, both: systemone pull fastino-labs/gliner2-5-decide and systemone pull akhilaaa3/jev-omni download the weights.
