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.
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, route
noul, classify
Architecture
simple-jev
span
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
Respan
Input price
—
$0.020/MTok
Decision accuracy
—
—
Calibration error
—
—
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 span-01?
simple-jev is from Featherless AI and span-01 from Respan. simple-jev has open weights and a hosted API; span-01 is only available as a hosted API. Both answer noul and classify questions. Only simple-jev answers choice, score and route. simple-jev is licensed apache-2.0; span-01, proprietary.
Which is more accurate, simple-jev or span-01?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, simple-jev or span-01?
simple-jev: Hosted, price not published, or free to self-host. span-01: $0.02 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run simple-jev or span-01 locally?
simple-jev yes — systemone pull featherless-ai/simple-jev downloads its weights. The other is only served as a hosted API.
