A training-free layer that turns an open LLM into a decision model. It reads typed choice, yes/no and score answers from one prefill, removes option-order bias with no labels and, from a few hundred labels, calibrates or fits a closed-form head. Weights stay untouched.
Upstage's structured decision model, a System One endpoint on Solar Mini 4. Returns a choice, a score or a yes/no answer with a probability read from the model, in one forward pass, on the same /v1/systemone schema as Jev.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
anyjev
solar
Fine-tuned from
qwen/qwen3-8b
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License
apache-2.0
proprietary
Availability
Open weights
Hosted API
Hosted by
—
Upstage
Input price
—
$0.10/MTok
Decision accuracy
77.1%
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Calibration error
0.034
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Valid action rate
—
—
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 anyjev and solar-decide?
anyjev is from Nokia and solar-decide from Upstage. anyjev has open weights you can download and run; solar-decide is only available as a hosted API. Both answer choice, score, noul, classify and route questions. anyjev is licensed apache-2.0; solar-decide, proprietary.
Which is more accurate, anyjev or solar-decide?
Only anyjev publishes an accuracy figure (77.1% on LocalLLaMA/typed-decisions (2,000 held-out decisions), L2 with 300 labels per question); solar-decide does not, so there is no comparison to make without your own test.
Which is cheaper, anyjev or solar-decide?
anyjev: Free (open weights). solar-decide: $0.1 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run anyjev or solar-decide locally?
anyjev yes — systemone pull nokia/anyjev downloads its weights. The other is only served as a hosted API.
Evaluation suite
LocalLLaMA/typed-decisions (2,000 held-out decisions), L2 with 300 labels per question
