Liquid AI's first decision model, served only through the Liquid API. Returns Choice, Score and Noul answers with probability distributions and zero output tokens, on the /v1/systemone request shape used by TypeSafe's SDK.
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.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, extract, route
Architecture
d1
gliner2
Fine-tuned from
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fastino/gliner2-large-v1
License
proprietary
apache-2.0
Availability
Hosted API
Open weights + hosted API
Hosted by
Liquid AI
Fastino
Input price
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Decision accuracy
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60.2%
Calibration error
—
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Valid action rate
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Median latency
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38.3 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 d1 and gliner2-5-decide?
d1 is from Liquid AI and gliner2-5-decide from Fastino Labs. d1 is only available as a hosted API; gliner2-5-decide has open weights and a hosted API. Both answer choice, score, noul, classify and route questions. Only gliner2-5-decide answers extract. d1 is licensed proprietary; gliner2-5-decide, apache-2.0.
Which is more accurate, d1 or gliner2-5-decide?
Only gliner2-5-decide publishes an accuracy figure (60.2% on Fastino fast-decisions suite (17 datasets)); d1 does not, so there is no comparison to make without your own test.
Which is cheaper, d1 or gliner2-5-decide?
d1: Hosted, price not published. gliner2-5-decide: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run d1 or gliner2-5-decide locally?
gliner2-5-decide yes — systemone pull fastino-labs/gliner2-5-decide downloads its weights. The other is only served as a hosted API.
