Featherless AI's open server that turns a stock Hugging Face language model into a typed-decision endpoint. It reads the next-token logits for each question and builds the Choice, Score or Noul answer itself; no classifier head is trained and no JSON is generated.
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
simple-jev
solar
Fine-tuned from
google/gemma-4-26b-a4b-it
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License
apache-2.0
proprietary
Availability
Open weights + hosted API
Hosted API
Hosted by
Featherless AI
Upstage
Input price
—
$0.10/MTok
Decision accuracy
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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 simple-jev and solar-decide?
simple-jev is from Featherless AI and solar-decide from Upstage. simple-jev has open weights and a hosted API; solar-decide is only available as a hosted API. Both answer choice, score, noul, classify and route questions. simple-jev is licensed apache-2.0; solar-decide, proprietary.
Which is more accurate, simple-jev or solar-decide?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, simple-jev or solar-decide?
simple-jev: Hosted, price not published, or free to self-host. solar-decide: $0.1 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run simple-jev or solar-decide locally?
simple-jev yes — systemone pull featherless-ai/simple-jev downloads its weights. The other is only served as a hosted API.
