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.
FLock.io's typed-decision model, fine-tuned from Mapika's decider-2b. Reads one hidden state per question and scores the declared options, so an answer outside the list cannot occur; several questions about one state share a forward pass.
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
laya
this-that
Fine-tuned from
answerdotai/modernbert-large
mapika/decider
License
apache-2.0
mit
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
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87.8%
Calibration error
—
—
Valid action rate
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Median latency
39.5 ms
31.4 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 this-that-model?
laya is from Convai Innovations and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. Only laya answers classify and route. laya is the smaller model, at 421M parameters to 1.9B. laya is licensed apache-2.0; this-that-model, mit.
Which is more accurate, laya or this-that-model?
Only this-that-model publishes an accuracy figure (87.8% on limberc/this-that-complex-decisions (1,710 questions, FLock's benchmark)); laya does not, so there is no comparison to make without your own test.
Which is cheaper, laya or this-that-model?
laya: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, laya or this-that-model?
By their publishers’ figures, this-that-model answers in about 31.4 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 this-that-model locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull flock-io/this-that-model download the weights.
