Small open typed-decision model with calibrated probabilities, first-class Nepali coverage.
Standard Thinking's decision model. Ministral 3 8B with a merged LoRA, served through stock SGLang and an open jev-adapter that exposes /v1/systemone and scores the supplied options in one forward pass with per-type temperatures.
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 mira and standard-one?
mira is from SAGEA and standard-one from Standard Thinking. mira has open weights you can download and run; standard-one has open weights and a hosted API. Both answer choice, score, noul, classify and route questions.
Which is more accurate, mira or standard-one?
They report on different suites — mira 74.5% on s1-decision-bench, standard-one 71.1% on typed-decisions suite, 400 cases / 2,000 decisions (maker's served run, v2) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, mira or standard-one?
mira: Free (open weights). standard-one: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Which is faster, mira or standard-one?
By their publishers’ figures, standard-one answers in about 25.8 ms at the median and mira in about 30 ms — measured on different hardware, so treat it as a rough guide.
Can I run mira or standard-one locally?
Yes, both: systemone pull sagea/mira and systemone pull standard-thinking/standard-one download the weights.
