typesafe/jev-latestClosed API

System One model for fast, typed probabilistic decisions over text or structured state

Benchmark Pricing$0.04 / 1M in$0.00 / 1M out$0.02 cache read
Context: 64,000 tokens•Max Output: 4,096 tokens•Released: 2026-09-15

TECHNICAL SPECIFICATIONS

Context Window64,00064K tokens
Max Output4,0964.1K tokens
LicenseProprietaryCloud API only
Input Modalities
Text
Function / Tool CallingNot Supported
Structured OutputsPrompt Based

MODEL CONTEXT PROTOCOL (MCP) READINESS

⚠ Jev does not natively advertise tool-calling capabilities. When connecting to MCP servers, function calling must be handled via structured prompt injection.

MCP Context Window Recommendations

With a context capacity of 64,000 tokens, this model can handle compact tool sets. Consider keeping MCP server tool manifests minimal to preserve headroom.

API CALL INVOCATION EXAMPLE

// Example: Calling Jev via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.TYPESAFE_API_KEY,
});

const response = await client.chat.completions.create({
  model: "typesafe/jev-latest",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);

PRICING BY PROVIDER

5 providers
NanoGPTtypesafe/jev-latest
$0.04 / $0.00$0.02 cache
Vivgridjev
$0.08 / $0.00
Cloudflare AI Gatewaytypesafe/jev
$0.04 / $0.00$0.00 cache
Vercel AI Gatewaytypesafe-ai/jev
$0.04 / $0.00
OpenRouter~typesafe/jev-latest
$0.04 / $0.00

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.02 / 1M tokens, saving up to 50% on repetitive MCP tool definitions and system instructions.

MODEL RESOURCES