AutoTrust's student of TypeSafe Jev 1.13. A frozen Qwen3.8-27B plus a 108.9M-parameter decision block trained on Jev's own output distributions; one set of weights answers typed questions in one pass (System 1) or generates text with the untouched base (System 2).
meraGPT's hosted decision model (state-decider-1). Answers yes/no, choice and rubric-score questions over one state as calibrated distributions in a single pass, on the System One schema, so the typesafe-sdk works by changing its base URL.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
blocks-of-experts
state-decider
Fine-tuned from
qwen/qwen3.8-27b
—
License
apache-2.0
proprietary
Availability
Open weights
Hosted API
Hosted by
—
meraGPT
Input price
—
$0.030/MTok
Decision accuracy
88.7%
76.8%
Calibration error
—
—
Valid action rate
—
—
Median latency
137 ms
—
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 jev-27b and state-decider-1?
jev-27b is from AutoTrust AI Lab and state-decider-1 from meraGPT. jev-27b has open weights you can download and run; state-decider-1 is only available as a hosted API. Both answer choice, score and noul questions. Only state-decider-1 answers classify and route. jev-27b is licensed apache-2.0; state-decider-1, proprietary.
Which is more accurate, jev-27b or state-decider-1?
They report on different suites — jev-27b 88.7% on JevBench public set (231 items), family-macro score, maker's run, state-decider-1 76.8% on typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, jev-27b or state-decider-1?
jev-27b: Free (open weights). state-decider-1: $0.03 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run jev-27b or state-decider-1 locally?
jev-27b yes — systemone pull autotrust-ai/jev-27b downloads its weights. The other is only served as a hosted API.
Evaluation suite
JevBench public set (231 items), family-macro score, maker's run
typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run
