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.
meraGPT's hosted decision model (state-decider-1). Answers yes/no, choice and rubric-score questions over one state as calibrated distributions in a single pass, on the System One schema, so the typesafe-sdk works by changing its base URL.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
d1
state-decider
Fine-tuned from
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License
proprietary
proprietary
Availability
Hosted API
Hosted API
Hosted by
Liquid AI
meraGPT
Input price
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$0.030/MTok
Decision accuracy
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76.8%
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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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 state-decider-1?
d1 is from Liquid AI and state-decider-1 from meraGPT. Both are only available as a hosted API. Both answer choice, score, noul, classify and route questions.
Which is more accurate, d1 or state-decider-1?
Only state-decider-1 publishes an accuracy figure (76.8% on typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run); d1 does not, so there is no comparison to make without your own test.
Which is cheaper, d1 or state-decider-1?
d1: Hosted, price not published. state-decider-1: $0.03 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run d1 or state-decider-1 locally?
Neither: both are only served as hosted APIs.
Evaluation suite
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typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run
