An open family of System One models. A LoRA adapter plus a pointer head on a frozen Qwen base returns a distribution per typed question in one forward pass, serves TypeSafe's /v1/systemone contract, and ships a fitted temperature with every checkpoint.
A Situated World Model for fast judgment in agent loops.
Decides
choice, score, noul, classify, route
choice, route, classify
Architecture
kev
trio-spark
Fine-tuned from
qwen/qwen3.5-4b-base
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License
apache-2.0
proprietary
Availability
Open weights
Hosted API
Hosted by
—
MachineFi
Input price
—
$0.042/MTok
Decision accuracy
83.8%
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Calibration error
0.042
—
Valid action rate
—
—
Median latency
—
—
p95 latency
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Evaluation suite
transfer-v4 (locked, out of domain)
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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 kev and trio-spark-v1?
kev is from Jared Palmer and trio-spark-v1 from MachineFi. kev has open weights you can download and run; trio-spark-v1 is only available as a hosted API. Both answer choice, classify and route questions. Only kev answers score and noul. kev reads up to 8K tokens of state, against 1K tokens for trio-spark-v1. kev is licensed apache-2.0; trio-spark-v1, proprietary.
Which is more accurate, kev or trio-spark-v1?
Only kev publishes an accuracy figure (83.8% on transfer-v4 (locked, out of domain)); trio-spark-v1 does not, so there is no comparison to make without your own test.
Which is cheaper, kev or trio-spark-v1?
kev: Free (open weights). trio-spark-v1: $0.042 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run kev or trio-spark-v1 locally?
kev yes — systemone pull jared-palmer/kev downloads its weights. The other is only served as a hosted API.
