Schematron V2 Small

Inference-net
inference-net/schematron-v2-smallClosed API

Efficient model for low-latency assistance, extraction, and routine automation

Benchmark Pricing$0.05 / 1M in$0.23 / 1M out$0.03 cache read
Context: 128,000 tokens•Max Output: 4,096 tokens•Released: 2026-04-16

TECHNICAL SPECIFICATIONS

Context Window128,000128K tokens
Max Output4,0964.1K tokens
LicenseProprietaryCloud API only
Input Modalities
Text
Function / Tool CallingNot Supported
Structured OutputsPrompt Based

MODEL CONTEXT PROTOCOL (MCP) READINESS

⚠ Schematron V2 Small 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 128,000 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.

API CALL INVOCATION EXAMPLE

// Example: Calling Schematron V2 Small via OpenAI SDK
import OpenAI from "openai";

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

const response = await client.chat.completions.create({
  model: "inference-net/schematron-v2-small",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

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

PRICING BY PROVIDER

5 providers
NanoGPTinference-net/schematron-v2-small
$0.05 / $0.23$0.03 cache
AI/ML APIinference-net/schematron-v2-small
$0.07 / $0.32
Vercel AI Gatewayinference-net/schematron-v2-small
$0.05 / $0.23$0.05 cache
Kilo Gatewayinference-net/schematron-v2-small
$0.05 / $0.23$0.05 cache
OpenRouterinference-net/schematron-v2-small
$0.05 / $0.23$0.05 cache

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

Prompt Caching Active

This model supports prompt caching at $0.03 / 1M tokens, saving up to 50% on repetitive MCP tool definitions and system instructions.

MODEL RESOURCES