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.
FrontiersMind's decision model on a base it pre-trained from scratch. Each question reads the state and its own tokens once and a 256-dimension pointer head scores the options; Choice and Score take up to 255 entries, and nothing is generated.
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
d1
lumma-fev
Fine-tuned from
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frontiersmind/lumma-0.6b-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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64.0%
Calibration error
—
—
Valid action rate
—
—
Median latency
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45.8 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 lumma-fev?
d1 is from Liquid AI and lumma-fev from FrontiersMind. d1 is only available as a hosted API; lumma-fev has open weights you can download and run. Both answer choice, score and noul questions. Only d1 answers classify and route. d1 is licensed proprietary; lumma-fev, apache-2.0.
Which is more accurate, d1 or lumma-fev?
Only lumma-fev publishes an accuracy figure (64.0% on typed-decisions (maker's table; split not stated)); d1 does not, so there is no comparison to make without your own test.
Which is cheaper, d1 or lumma-fev?
d1: Hosted, price not published. lumma-fev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run d1 or lumma-fev locally?
lumma-fev yes — systemone pull frontiersmind/lumma-fev downloads its weights. The other is only served as a hosted API.
