Schematron V2 Turbo

Not rated yet. Independent test results usually appear a few weeks after a model is released.

Benchmark data: Epoch AI, licensed CC BY 4.0

Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Call Schematron V2 Turbo through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "inference-net/schematron-v2-turbo", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

import os
from openai import OpenAI

client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
    model="inference-net/schematron-v2-turbo",
    messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
  model: "inference-net/schematron-v2-turbo",
  messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

• 1,000 chat replies

  ≈ 500 tokens in, 300 out each
  $0.06
• Summarise a 100-page document

  ≈ 50,000 tokens in, 1,000 out
  $0.0017
• An app with 10,000 requests a day for a month

  ≈ 1,000 tokens in, 400 out each
  $27.00

Cost calculator →

How much does Schematron V2 Turbo cost?

Schematron V2 Turbo costs $0.03 per million input tokens and $0.15 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.06.

What is the context window of Schematron V2 Turbo?

Schematron V2 Turbo can read up to 128,000 tokens in one request, about 240 pages of text. It can write up to 8,192 tokens in a single answer.

Is Schematron V2 Turbo open source?

Yes. Its weights are published (inference-net/schematron-v2-granite-4.0-h-micro), so you can download it and run it on your own hardware, or use it through one of 1 API providers.

Who makes Schematron V2 Turbo?

Schematron V2 Turbo is made by Inference Net. It became available through the API on September 12, 2026.

Can Schematron V2 Turbo read images?

No. Schematron V2 Turbo only accepts text as input.

What are the alternatives to Schematron V2 Turbo?

Models with a similar price from other companies include Qwen3.7 Flash, Llama 3.2 1B Instruct and Nova Micro 1.0. You can compare them side by side on this page.