Jev
Typesafetypesafe/jev-latestClosed APISystem 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
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
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