Telnyx's hosted decision models, in beta on Telnyx Inference. One request carries shared state and up to 64 typed questions (choice, yes/no noul, ordered score) and returns a probability per option, with no generated text, on a TypeSafe-compatible /v1/systemone route.
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.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
telnyx-decision
kev
Fine-tuned from
—
qwen/qwen3.5-4b-base
License
proprietary
apache-2.0
Availability
Hosted API
Open weights
Hosted by
Telnyx
—
Input price
$0.035/MTok
—
Decision accuracy
—
83.8%
Calibration error
—
0.042
Valid action rate
—
—
Median latency
—
—
p95 latency
—
—
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 decision-flash and kev?
decision-flash is from Telnyx and kev from Jared Palmer. decision-flash is only available as a hosted API; kev has open weights you can download and run. Both answer choice, score, noul, classify and route questions. decision-flash is licensed proprietary; kev, apache-2.0.
Which is more accurate, decision-flash or kev?
Only kev publishes an accuracy figure (83.8% on transfer-v4 (locked, out of domain)); decision-flash does not, so there is no comparison to make without your own test.
Which is cheaper, decision-flash or kev?
decision-flash: $0.035 / $0 per 1M. kev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decision-flash or kev locally?
kev yes — systemone pull jared-palmer/kev downloads its weights. The other is only served as a hosted API.
