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.
A family of open System One models by Mark Marosi, decider-0.8b, decider-2b, decider-4b and decider-35b-a3b on Qwen3.5 bases, that softmax letter logits at an answer slot. This page carries decider-2b v11.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
d1
decider
Fine-tuned from
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qwen/qwen3.5-2b-base
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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75.2%
Calibration error
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Valid action rate
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Median latency
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p95 latency
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Evaluation suite
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 decider?
d1 is from Liquid AI and decider from Mapika. d1 is only available as a hosted API; decider has open weights you can download and run. Both answer choice, score, noul, classify and route questions. d1 is licensed proprietary; decider, apache-2.0.
Which is more accurate, d1 or decider?
Only decider publishes an accuracy figure (75.2% on Decider regression set, 28 held-out tasks (decider-2b v11)); d1 does not, so there is no comparison to make without your own test.
Which is cheaper, d1 or decider?
d1: Hosted, price not published. decider: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run d1 or decider locally?
decider yes — systemone pull mapika/decider downloads its weights. The other is only served as a hosted API.
