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.
Together AI's Jev-style classifier. A LoRA fine-tune of Qwen3.5-4B that reads a state, a question and 2 to 24 options and returns one option letter. Served on Together's platform; recipe published.
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 tev1?
decider is from Mapika and tev1 from Together AI. decider has open weights you can download and run; tev1 has open weights and a hosted API. Both answer choice, classify and route questions. Only decider answers score and noul. decider is the smaller model, at 1.9B parameters to 4.0B. decider is licensed apache-2.0; tev1, other.
Which is more accurate, decider or tev1?
They report on different suites — decider 75.2% on Decider regression set, 28 held-out tasks (decider-2b v11), tev1 88.0% on Together development set (reused, not held out) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, decider or tev1?
decider: Free (open weights). tev1: $0.042 / $0 per 1M, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run decider or tev1 locally?
Yes, both: systemone pull mapika/decider and systemone pull together-ai/tev1 download the weights.
