Jev 1.13 API

The first public version of TypeSafe's Jev decision model, pinned: it returns typed answers with calibrated probabilities instead of text, and reads experimental images.

Modalities
Text, ImageText
Input price
$0.042per 1M tokens
Model type
Routing
Released
Sep 17, 2026

Jev 1.13 overview

Jev 1.13 by TypeSafe AI

Send a state and typed questions to the /v1/decisions endpoint and receive typed answers with probabilities.

Jev 1.13 specs

Model ID
typesafe/jev-1.13
Developer
TypeSafe AI
Input
Text, Image
Output
Text
Endpoint
POST https://api.aimlapi.com/v1/decisions

What Is Jev 1.13?

Jev 1.13 is the first public version of Jev, the System One decision model from TypeSafe AI. Instead of generating text, it returns typed answers, a yes/no with a probability, a choice from a defined set, or a score, with calibrated probabilities, for routing, classification and other decision points inside an application. Version 1.13 also reads images as an experimental input. It was released on 17 September 2026 and is available on AI/ML API as typesafe/jev-1.13.

Pinned Version vs the typesafe/jev Alias

AI/ML API serves Jev under two kinds of model id. typesafe/jev is a floating alias that points to the newest Jev release and currently resolves to Jev 1.14. typesafe/jev-1.13 is pinned: requests always go to version 1.13. Pin a version when decisions must stay reproducible, for example when thresholds were tuned against 1.13's probabilities or when an evaluation set must keep producing the same results, and move to 1.14 deliberately after re-checking those thresholds.

Specifications

  • Release date: 17 September 2026
  • Context window: 262,144 tokens
  • Input: text, images (experimental), output: typed decisions
  • Question types: noul (yes/no with probability), choice, score

How a Request Works

A request carries a state, the text the decision is about, and a set of named questions, each with a type and plain-language instructions. Jev answers every question with a value of the requested type and a probability, so application code can branch on the result directly instead of parsing a sentence.

Use cases

Routing: deciding which model, queue or handler should take a request, with a probability that can be used as a confidence threshold.

Classification inside product logic, such as flagging urgent support tickets, detecting intent or checking whether a message meets a policy.

Scoring, where an application needs a number on a defined scale rather than a written assessment.

Workloads that must stay reproducible: pinning typesafe/jev-1.13 keeps decisions and their probabilities stable while newer Jev versions ship under the typesafe/jev alias.

Capabilities

  • Structured outputs
  • Vision

Jev 1.13 API pricing

Jev 1.13 pricing in US dollars
UsagePriceUnit
Input$0.0421M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

How to use the Jev 1.13 API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/decisions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "typesafe/jev-1.13",
  "state": "Help! My payments have been failing for 3 days.",
  "questions": null
}'

Jev 1.13 FAQ

Is Jev 1.13 available on AI/ML API?

Yes. Jev 1.13 is live on AI/ML API as typesafe/jev-1.13, served through the POST /v1/decisions endpoint.

What is the difference between typesafe/jev-1.13 and typesafe/jev?

typesafe/jev-1.13 is pinned and always runs version 1.13. typesafe/jev is an alias for the newest Jev release and currently points to Jev 1.14, so its behaviour changes when TypeSafe ships a new version.

When should I pin Jev 1.13?

When decisions must stay reproducible: thresholds tuned on 1.13's probabilities, evaluation sets that must keep producing the same results, or audited workflows. Move to 1.14 after re-checking those thresholds.

What kinds of answers does Jev 1.13 return?

Typed answers with calibrated probabilities: a yes/no (noul), a choice from a defined set, or a score.

Does Jev 1.13 accept images?

Yes, as an experimental input. Jev 1.14 extends image support with Box questions, which ask where something is in an image.

How much does Jev 1.13 cost?

Jev 1.13 costs $0.042 per 1M input tokens on AI/ML API, billed as you go with no subscription.

What is the Jev 1.13 model ID?

Use typesafe/jev-1.13 as the model parameter. Requests go to https://api.aimlapi.com/v1/decisions with your AI/ML API key.

Start building with Jev 1.13

Jev 1.13 API

typesafe/jev-1.13

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/decisions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "typesafe/jev-1.13",
  "state": "Help! My payments have been failing for 3 days.",
  "questions": null
}'