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TypeSafe AI

Jev 1.13

TypeSafe AI's first System One model for fast, typed choices, scores, and probabilities that software can use directly.

Plain-English overview

What Jev 1.13 actually is

Jev is a specialist decision model, not a conversational language model. An application sends text or structured state plus one or more predefined questions, and Jev returns bounded values with probabilities instead of drafting an answer token by token.

That design makes Jev interesting for high-volume classification, routing, risk scoring, agent checks, and other places where code needs a small decision rather than a paragraph. TypeSafe also exposes uncertainty, which lets a workflow accept confident decisions, escalate ambiguous cases, or fall back to a larger model.

Good fit for

  • High-volume classification and request routing
  • Confidence-gated agent checks and guardrails
  • Narrow semantic judgments inside search and RAG workflows

Category comparison

The facts that matter for decision models

These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.

Input price
$0.042 / 1M input tokens; output freeCurrent provider price for the text or structured state submitted to the model, including whether decision outputs are billed.
Input capacity
64K tokens total; state plus longest question up to 32KMaximum documented state and question capacity for one request.
Decision types
Choice, Score, and Noul probability questionsThe bounded question forms the model can answer, such as choices, scores, or probabilities.
Output contract
Typed JSON decisions defined before inferenceHow the response is constrained for direct use by application code.
Uncertainty
Probability distributions; Choice and Score also include confidenceWhether the endpoint exposes probabilities, confidence, or another calibrated signal.
Where to use it
Early-access API and Playground; Python and JavaScript SDKsCurrent API, SDK, playground, and access-stage information.

API and provider access

Where to get Jev 1.13

Availability

Regions and access stage

Early access through TypeSafe's Playground and API. The stable alias jev-latest currently resolves to jev-1.13.0.

TypeSafe's privacy policy says its services are hosted in the United States; the model documentation does not publish regional endpoint choices.

Check live availability

Data and training

The route matters.

TypeSafe says it does not train or fine-tune on customer inputs. Its privacy policy does not promise a fixed zero-retention period and says services are hosted in the United States, so sensitive workloads should confirm contractual retention and processing terms.

This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.

Read the provider policy

Frequently asked questions

Jev 1.13 FAQ

What is Jev 1.13?

TypeSafe AI's first System One model for fast, typed choices, scores, and probabilities that software can use directly. Jev is a specialist decision model, not a conversational language model. An application sends text or structured state plus one or more predefined questions, and Jev returns bounded values with probabilities instead of drafting an answer token by token.

When was Jev 1.13 released?

Jev 1.13 was released on September 15, 2026 according to the cited provider materials.

Where can I access Jev 1.13?

Early access through TypeSafe's Playground and API. The stable alias jev-latest currently resolves to jev-1.13.0. The access routes listed in this guide are TypeSafe AI.

How much does Jev 1.13 cost?

$0.042 input / 1M tokens · output free. TypeSafe lists Jev 1.13 at $42 per billion input tokens. Decision outputs are not billed. Early-access limits and pricing can change.

Where is Jev 1.13 available?

Early access through TypeSafe's Playground and API. The stable alias jev-latest currently resolves to jev-1.13.0. TypeSafe's privacy policy says its services are hosted in the United States; the model documentation does not publish regional endpoint choices.

Is my Jev 1.13 API data used for training?

TypeSafe says it does not train or fine-tune on customer inputs. Its privacy policy does not promise a fixed zero-retention period and says services are hosted in the United States, so sensitive workloads should confirm contractual retention and processing terms. The policy belongs to the provider route and account terms, so verify it again before production use.