An open-weights System One model from Convai Innovations. A fully fine-tuned ModernBERT-large encoder with a from-scratch decision head that scores one marker per option and answers every question in a single 33–39 ms pass. Runs on your own CPU or GPU.
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
laya
open-jev
Fine-tuned from
answerdotai/modernbert-large
microsoft/deberta-v3-large
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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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
39.5 ms
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 laya and open-jev-deberta-v3-large?
laya is from Convai Innovations and open-jev-deberta-v3-large from Kotoba Labs. Both have open weights you can download and run. Both answer choice, score, noul and classify questions. Only laya answers route. laya is the smaller model, at 421M parameters to 434M.
Which is more accurate, laya 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)); laya does not, so there is no comparison to make without your own test.
Which is cheaper, laya or open-jev-deberta-v3-large?
laya: Free (open weights). open-jev-deberta-v3-large: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, laya or open-jev-deberta-v3-large?
By their publishers’ figures, open-jev-deberta-v3-large answers in about 28 ms at the median and laya in about 39.5 ms — measured on different hardware, so treat it as a rough guide.
Can I run laya or open-jev-deberta-v3-large locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull kotoba-labs/open-jev-deberta-v3-large download the weights.
Evaluation suite
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Kotoba held-out test, seen question types (banking77, SST-5, BoolQ)
