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Favicon for typesafe

TypeSafe: Jev 1.13

typesafe/jev-1.13

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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.

Learn more in TypeSafe's docs: https://docs.typesafe.ai/concepts/system-oneOpens in new tab

Modalities
In / out price
$0.042 / $0per 1M
Context
262K
Released
Sep 18, 2026
Compare
PlaygroundProvidersPricingPerformanceUptimeAppsActivityDocumentationFAQExplore

Playground

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. It runs on the OpenRouter Decisions API rather than the OpenAI-compatible chat endpoint, so the request and response shapes below are specific to structured decisions — chat completions SDKs will not work with it.

TypeSafe: Jev versions

Not currently available through EU in-region routing. In-region routing docs

Documentation

Guides, cookbooks, blog posts, and tools for building with TypeSafe: Jev 1.13 on OpenRouter.

  • Jev TutorialGuide
  • Jev (TypeSafe)Guide
  • Multimodal DecisionsGuide
  • TypeSafe SDK (Jev)Guide
  • Gate Agent Tool Calls with JevCookbook
  • Auto-Approve Coding Agent Permission Prompts with JevCookbook
  • Classify Reddit and YouTube Comments with Jev and ScrapeCreatorsCookbook
  • Classify and Tag Text at Scale with JevCookbook
  • Cut LLM Cost with a Jev-Verified CascadeCookbook
  • Jev LabLab
  • Decisions LabLab
  • How to Use Jev: Moderation with the Jev API in TypeScriptBlog post
  • Is Jev as Accurate as Frontier Models at Classification?Blog post
  • What Is Jev? TypeSafe's Decision Model Explained for DevelopersBlog post
  • Jev vs LLM-as-a-JudgeBlog post
  • Jev vs LLM: When to Use a Decision Model Instead of Generating TextBlog post

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Frequently asked questions

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 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 1.14 is another text model from TypeSafe.

Jev 1.13 was released on September 18, 2026.

More models from TypeSafe

Jev 1.14

Jev 1.14 is the latest version of Jev, TypeSafe's structured decision model and the first of its System One models. System One models make fast, structured decisions for software, returning a typed answer 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.

Learn more in TypeSafe's docs: https://docs.typesafe.ai/models

Decisions$0.042 / $0
Jev Router

Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. It runs on Jev, TypeSafe's first System One model, and adapts as your conversation evolves. One endpoint gives you the whole model ecosystem, leveraging the ecosystem's token and spend share.

Text1M context
Jev Latest

This model always redirects to the latest model in the Jev family.

Decisions