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TypeSafe: Jev (latest)
TypeSafe
Sep 18, 2026
typesafe/jev-latest
Context Length64,000
Input Price$0.04/1M tokens
Output Price-
Max Output
Blended Price-

Jev is TypeSafe's flagship System One model, served by POST /v1/systemone. It evaluates a text `state` against a map of typed `questions` (noul yes/no, choice, and score) and returns one calibrated `answer` per question. `jev-latest` currently resolves to `jev-1.13.0`. Text only (string, JSON object, or array of text values); no image, audio, or video input. Trained with RLCD for calibrated decisions; not fine-tuned on customer data. Charged per input token, output tokens are free.

Input Modalitiestext
Output Modalitiesdecisions
Modalitytext->decisions
TokenizerJev
Provider Details

typesafe

Input Cost$0.04/1M tokens
Output Cost-
Context Length64,000
Max Output-
Latency-
Throughput-
Supported Parameters
Parameter
Type
Typesafe AI
Other
questions
object
See provider docs
state
string
-

Throughput

Latency

Make Your First API Call

Get started by making your first request to FastRouter. Use your favorite SDK or make direct API calls.

Copy
from openai import OpenAI
client = OpenAI(
base_url="https://api.fastrouter.ai/api/v1", # FastRouter base URL
api_key= "<FASTROUTER_API_KEY>", # Replace with your FastRouter API key
)
completion = client.chat.completions.create(
model="typesafe/jev-latest", # Replace with your model ID
messages=[
{ "role": "user", "content": "What is the meaning of life?" }
]
)
print(completion.choices[0].message.content)

Before you run this code:

  1. Replace <FASTROUTER_API_KEY> with your actual API key
  2. Install the OpenAI SDK: pip install openai
  3. Run the code, then check your dashboard for analytics
Frequently Asked Questions

Model scores sourced from ArtificialAnalysis