TypeSafe: Jev 1.13

Jev is a structured decision model from TypeSafe, and the first of its System One models. System One models make fast, structured decisions for software, returning a typed choice rather than free-form text. It is suited for routing, classification, and other decision points inside an application where a fast, predictable answer matters more than generated prose.

The Jev 1.13 documentation on OpenRouter includes the Jev Tutorial guide, the Jev (TypeSafe) guide, the Multimodal Decisions guide, the TypeSafe SDK (Jev) guide, the Gate Agent Tool Calls with Jev cookbook, the Auto-Approve Coding Agent Permission Prompts with Jev cookbook, the Classify Reddit and YouTube Comments with Jev and ScrapeCreators cookbook, the Classify and Tag Text at Scale with Jev cookbook, the Cut LLM Cost with a Jev-Verified Cascade cookbook, the interactive Jev Lab, the interactive Decisions Lab, the How to Get Structured Output from Any LLM: JSON Schema, Tool Calls, or a Decision Model blog post, the How to Use Jev: Moderation with the Jev API in TypeScript blog post, the Is Jev as Accurate as Frontier Models at Classification? blog post, the What Is Jev? TypeSafe's Decision Model Explained for Developers blog post, the Jev vs LLM-as-a-Judge blog post, and the Jev vs LLM: When to Use a Decision Model Instead of Generating Text blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

Jev 1.13 costs $0.042/M input tokens and $0.00/M output tokens.

Jev 1.13 has a 262,144 token context window.

Jev 1.13 accepts text and images as input and returns structured decisions.

Jev 1.13 is served by 1 provider on OpenRouter: TypeSafe.

Jev 1.14 is another text model from TypeSafe.

Jev 1.13 was released on September 18, 2026.