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).
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.
Decides
choice, score, noul
choice, classify, route
Architecture
blocks-of-experts
tev
Fine-tuned from
qwen/qwen3.8-27b
qwen/qwen3.5-4b
License
apache-2.0
Unspecified — weights licence being finalised
Availability
Open weights
Open weights + hosted API
Hosted by
—
Together AI
Input price
—
$0.042/MTok
Decision accuracy
88.7%
88.0%
Calibration error
—
—
Valid action rate
—
—
Median latency
137 ms
—
p95 latency
—
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Evaluation suite
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 tev1?
jev-27b is from AutoTrust AI Lab and tev1 from Together AI. jev-27b has open weights you can download and run; tev1 has open weights and a hosted API. Both answer choice questions. Only jev-27b answers score and noul. Only tev1 answers classify and route. tev1 is the smaller model, at 4.0B parameters to 27B. jev-27b is licensed apache-2.0; tev1, other.
Which is more accurate, jev-27b or tev1?
They report on different suites — jev-27b 88.7% on JevBench public set (231 items), family-macro score, maker's run, 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, jev-27b or tev1?
jev-27b: 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 jev-27b or tev1 locally?
Yes, both: systemone pull autotrust-ai/jev-27b and systemone pull together-ai/tev1 download the weights.
JevBench public set (231 items), family-macro score, maker's run
