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.
A typed-decision layer for Google's DiffusionGemma, from David Villalón at Maisa AI. It compiles a request into a small answer canvas, runs one denoising read on patched vLLM and reads the probabilities of the allowed labels, for text, images and images offered as options.
Decides
choice, score, noul, classify, route
choice, score, noul
Architecture
decider
djev
Fine-tuned from
qwen/qwen3.5-2b-base
google/diffusiongemma-26b-a4b-it
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
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Maisa
Input price
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$0.035/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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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 djev?
decider is from Mapika and djev from Maisa. decider has open weights you can download and run; djev has open weights and a hosted API. Both answer choice, score and noul questions. Only decider answers classify and route. decider is the smaller model, at 1.9B parameters to 26B.
Which is more accurate, decider or djev?
Only decider publishes an accuracy figure (75.2% on Decider regression set, 28 held-out tasks (decider-2b v11)); djev does not, so there is no comparison to make without your own test.
Which is cheaper, decider or djev?
decider: Free (open weights). djev: $0.035 / $0 per 1M, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run decider or djev locally?
Yes, both: systemone pull mapika/decider and systemone pull maisa/djev download the weights.
