A multimodal decision classifier over text, image, audio and video on Gemma 4 12B, fine-tuned on 30,000 questions. Returns a probability per option and generates nothing.
A Thai-and-English System One model. Qwen3.5-0.8B continued-pretrained on about 5B Thai tokens, its language-model head replaced by a 256-way slot head (slot 255 abstains), trained on 2–3M decision examples and temperature-calibrated per question type.
Decides
choice, noul, score, classify
choice, score, noul, classify, route
Architecture
jev-omni
openthai
Fine-tuned from
google/gemma-4-12b-it
qwen/qwen3.5-0.8b-base
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
87.6%
74.3%
Calibration error
0.040
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Valid action rate
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Median latency
83 ms
40 ms
p95 latency
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Evaluation suite
DecisionBench Medium (author's set)
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 jev-omni and openthai-systemone?
jev-omni is from akhilaaa3 and openthai-systemone from iApp Technology. Both have open weights you can download and run. Both answer choice, noul, score and classify questions. Only openthai-systemone answers route. openthai-systemone is the smaller model, at 800M parameters to 12B.
Which is more accurate, jev-omni or openthai-systemone?
They report on different suites — jev-omni 87.6% on DecisionBench Medium (author's set), openthai-systemone 74.3% on Bespoke public subsets (13, macro average) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jev-omni or openthai-systemone?
jev-omni: Free (open weights). openthai-systemone: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, jev-omni or openthai-systemone?
By their publishers’ figures, openthai-systemone answers in about 40 ms at the median and jev-omni in about 83 ms — measured on different hardware, so treat it as a rough guide.
Can I run jev-omni or openthai-systemone locally?
Yes, both: systemone pull akhilaaa3/jev-omni and systemone pull iapp-technology/openthai-systemone download the weights.
