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.
An independent Jev-shaped reproduction on DeBERTa-v3-large. One state and any number of choice, score and yes/no questions go in, and a calibrated distribution per question comes out of one forward pass. Public gold labels only.
Decides
choice, score, noul, classify, route
choice, score, noul, classify
Architecture
d1
open-jev
Fine-tuned from
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microsoft/deberta-v3-large
License
proprietary
apache-2.0
Availability
Hosted API
Open weights
Hosted by
Liquid AI
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Input price
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Decision accuracy
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85.4%
Calibration error
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0.022
Valid action rate
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Median latency
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28 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 open-jev-deberta-v3-large?
d1 is from Liquid AI and open-jev-deberta-v3-large from Kotoba Labs. d1 is only available as a hosted API; open-jev-deberta-v3-large has open weights you can download and run. Both answer choice, score, noul and classify questions. Only d1 answers route. d1 is licensed proprietary; open-jev-deberta-v3-large, apache-2.0.
Which is more accurate, d1 or open-jev-deberta-v3-large?
Only open-jev-deberta-v3-large publishes an accuracy figure (85.4% on Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)); d1 does not, so there is no comparison to make without your own test.
Which is cheaper, d1 or open-jev-deberta-v3-large?
d1: Hosted, price not published. open-jev-deberta-v3-large: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run d1 or open-jev-deberta-v3-large locally?
open-jev-deberta-v3-large yes — systemone pull kotoba-labs/open-jev-deberta-v3-large downloads its weights. The other is only served as a hosted API.
Evaluation suite
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Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)
