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.
OpenAI's decision endpoint, announced at DevDay 2026. It focuses GPT-6 Luna on developer-defined questions that have a finite set of predefined answers, with text or image context, for classification, routing and an agent's next action.
Decides
choice, score, noul, classify, route
choice, classify, route
Architecture
decider
gpt-6-luna
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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OpenAI
Input price
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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 decisions-api?
decider is from Mapika and decisions-api from OpenAI. decider has open weights you can download and run; decisions-api is only available as a hosted API. Both answer choice, classify and route questions. Only decider answers score and noul. decider is licensed apache-2.0; decisions-api, proprietary.
Which is more accurate, decider or decisions-api?
Only decider publishes an accuracy figure (75.2% on Decider regression set, 28 held-out tasks (decider-2b v11)); decisions-api does not, so there is no comparison to make without your own test.
Which is cheaper, decider or decisions-api?
decider: Free (open weights). decisions-api: Hosted, price not published. Open weights cost nothing per call beyond your own hardware.
Can I run decider or decisions-api locally?
decider yes — systemone pull mapika/decider downloads its weights. The other is only served as a hosted API.
