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.
TokenRhythm's prefill-only decision model for agent workflows. Built on its NeoHorse-1-4B (a Qwen3.5-4B derivative), it predicts Choice, Noul and Score answers over application-defined options without generating text, with optional single-image input.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
d1
neohorse
Fine-tuned from
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tokenrhythm/neohorse-1-4b
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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75.3%
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 neohorse-jev?
d1 is from Liquid AI and neohorse-jev from TokenRhythm. d1 is only available as a hosted API; neohorse-jev has open weights you can download and run. Both answer choice, score, noul, classify and route questions. d1 is licensed proprietary; neohorse-jev, apache-2.0.
Which is more accurate, d1 or neohorse-jev?
Only neohorse-jev publishes an accuracy figure (75.3% on JevBench public set (231 items), vLLM, maker's run); d1 does not, so there is no comparison to make without your own test.
Which is cheaper, d1 or neohorse-jev?
d1: Hosted, price not published. neohorse-jev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run d1 or neohorse-jev locally?
neohorse-jev yes — systemone pull tokenrhythm/neohorse-jev downloads its weights. The other is only served as a hosted API.
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Evaluation suite
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JevBench public set (231 items), vLLM, maker's run
