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.
Respan's behaviour-scoring model for evals, guardrails and monitoring. For each plain-language behaviour you define, it reads a conversation or agent trace and returns the probability the behaviour is present, absent or not observable, in one forward pass.
Decides
choice, score, noul, classify
noul, classify
Architecture
jevembed
span
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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Respan
Input price
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$0.020/MTok
Decision accuracy
85.9%
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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 span-01?
jevembed is from HIT-TMG (Lychee Team) and span-01 from Respan. jevembed has open weights you can download and run; span-01 is only available as a hosted API. Both answer noul and classify questions. Only jevembed answers choice and score. jevembed is licensed apache-2.0; span-01, proprietary.
Which is more accurate, jevembed or span-01?
Only jevembed publishes an accuracy figure (85.9% on JevEmbed-Data test split (64,110 hard-label questions), final LoRA checkpoint before merging); span-01 does not, so there is no comparison to make without your own test.
Which is cheaper, jevembed or span-01?
jevembed: Free (open weights). span-01: $0.02 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run jevembed or span-01 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
