An embedding model turned decision model. Qwen3-Embedding-4B with a merged LoRA, driven by the open JevEmbed toolkit, which scores Choice, Score and Noul questions from embedding similarity and returns a distribution without generating text.
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
choice, score, noul, classify, route
Architecture
jevembed
state-decider
Fine-tuned from
qwen/qwen3-embedding-4b
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License
apache-2.0
proprietary
Availability
Open weights
Hosted API
Hosted by
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meraGPT
Input price
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$0.030/MTok
Decision accuracy
85.9%
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 jevembed and state-decider-1?
jevembed is from HIT-TMG (Lychee Team) and state-decider-1 from meraGPT. jevembed has open weights you can download and run; state-decider-1 is only available as a hosted API. Both answer choice, score, noul and classify questions. Only state-decider-1 answers route. state-decider-1 reads up to 4K tokens of state, against 1K tokens for jevembed. jevembed is licensed apache-2.0; state-decider-1, proprietary.
Which is more accurate, jevembed or state-decider-1?
They report on different suites — jevembed 85.9% on JevEmbed-Data test split (64,110 hard-label questions), final LoRA checkpoint before merging, state-decider-1 76.8% on typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jevembed or state-decider-1?
jevembed: Free (open weights). state-decider-1: $0.03 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run jevembed or state-decider-1 locally?
jevembed yes — systemone pull hit-tmg/jevembed downloads its weights. The other is only served as a hosted API.
Evaluation suite
JevEmbed-Data test split (64,110 hard-label questions), final LoRA checkpoint before merging
typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run
