← Decision models

DECISION & CLASSIFICATION / TypeSafe AI

Jev

A hosted decision model for choosing labels, rating a rubric and estimating yes/no probabilities.

jev-1.13.0Source checked 2026-10-05Classification & intentAgent & tool routingRelevance & evidenceRubric scoring

ACCESS & CAPABILITIES

How it fits your workflow

TypeSafe API. Use a versioned ID when evaluating; aliases can move. Customer-specific fine-tuning is not offered.

Documented judgment types
Choose an option · Yes / no probability · Rubric score
Languages
English is the primary training language; evaluate other languages separately.
Context and input limits
64k tokens across a request; state plus the longest question must fit 32k. Text input only.
Jev-compatible interface
Documented; not an accuracy guarantee

PRICE & PROBABILITIES

$0.042 / 1M input tokens

TypeSafe direct API, USD per million input tokens; output is not billed. Per-decision cost depends on input size, questions and retries.

TypeSafe · model versions and pricing ↗

Interpret the output

Choice and Score include option distributions and a derived confidence value. Noul returns a yes probability without a separate confidence field. Validate calibration on your workload.

Check before choosing

A typed result can still be wrong. Define an unknown outcome and a fallback.

Serving limits and alias targets can change; record the actual model returned.

No shared benchmark measured yet

Our accuracy, calibration, p50/p95 latency and cost per thousand decisions are not measured. This is a source-reviewed capability profile. Compare the same task, model version, language, input size and serving setup before ranking results.

Read the selection and evaluation guide →

Official sources & version notes

TypeSafe · model versions and pricing ↗ Checked 2026-10-05

TypeSafe · decision primitives ↗ Checked 2026-10-05

TypeSafe · interpreting confidence ↗ Checked 2026-10-05