A family of open System One models by Mark Marosi, decider-0.8b, decider-2b, decider-4b and decider-35b-a3b on Qwen3.5 bases, that softmax letter logits at an answer slot. This page carries decider-2b v11.
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
decider
span
Fine-tuned from
qwen/qwen3.5-2b-base
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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
75.2%
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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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Evaluation suite
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 decider and span-01?
decider is from Mapika and span-01 from Respan. decider has open weights you can download and run; span-01 is only available as a hosted API. Both answer noul and classify questions. Only decider answers choice, score and route. decider is licensed apache-2.0; span-01, proprietary.
Which is more accurate, decider or span-01?
Only decider publishes an accuracy figure (75.2% on Decider regression set, 28 held-out tasks (decider-2b v11)); span-01 does not, so there is no comparison to make without your own test.
Which is cheaper, decider or span-01?
decider: Free (open weights). span-01: $0.02 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run decider or span-01 locally?
decider yes — systemone pull mapika/decider downloads its weights. The other is only served as a hosted API.
