TypeSafe's structured decision and evaluation model. Give it a state and a set of named questions (noul / choice / score) and it returns a structured answer for each. Served via POST /v1/systemone; non-streaming; up to ~64K input tokens; text in, structured JSON out.
Jev 1.13 is TypeSafe's structured decision and evaluation model. You send a state to judge plus a set of named questions, and Jev returns a structured answer for each — built for consistent,…
Each question is one of three types: noul (true/false), choice (pick one of up to 255 labelled options), or score (rate on an ordered scale of 2–10 levels). Input is text; output is structured JSON. Responses are non-streaming, with an input budget of roughly 64K tokens across the combined state and questions.
Pricing is configured per deployment and may be billed per call or per token. See the pricing on this page for the current rate.
POST /v1/systemone with your OrcaRouter API key. The request body carries model, a state field (string, object or array — the material to judge), and a questions map; each question has a type (noul / choice / score), instructions, and — for choice and score — criteria. Responses are returned as a single structured JSON payload (non-streaming).
| Input / 1M tokens | $0.042 |
|---|---|
| Output / 1M tokens | — |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
What developers are saying this week
GET /api/public/models/typesafe/jev-1.13Open @misc{orcarouter_jev_1_13,
title = {Jev 1.13 API},
author = {TypeSafe},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/typesafe/jev-1.13}
}TypeSafe. (2026). Jev 1.13 API. OrcaRouter. https://www.orcarouter.ai/models/typesafe/jev-1.13