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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
32K
Released
Sep 18, 2026
Compare
PlaygroundProvidersPricingPerformanceUptimeAppsActivityDocumentationFAQ

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.

Documentation

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

  • Jev TutorialGuide
  • Jev (TypeSafe)Guide
  • 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
$0.042Free0.20s
99.58%
Latency
0.20s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.88%

Availability over the last 3 days

Last 72 hours
Availability 99.88%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.99%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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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 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, and the interactive Jev Lab. 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 32,000 token context window.

Jev 1.13 accepts text as input and returns structured decisions.

Jev 1.13 was released on September 18, 2026.

More models from Typesafe

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