How do I access Schematron V2 Turbo from inside Iran?

Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Is Schematron V2 Turbo compatible with OpenAI code?

Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.

What context window and capabilities does Schematron V2 Turbo have?

It has a 128K-token context window, accepts text input, and supports structured JSON output and streaming.

Inference.net: Schematron V2 Turbo: AI model

Schematron V2 Turbo is a small, fast model that turns web pages (HTML) into JSON from Inference.net with a 128K-token context window. Reachable from inside Iran through Hormouz.

Context window:: 128,000 tokens
Input:: $0.03/1M tokens
Output:: $0.15/1M tokens
Type:: text

Streaming
Long context

Schematron V2 Turbo is a 3B-parameter model for one job: reading HTML and returning JSON that matches a schema you provide. The Turbo version favours throughput, for scraping and extraction pipelines that process many pages. The extraction instructions go in a JSON schema in response_format, not in the system or user prompt.

It accepts text input and returns text, and supports structured JSON output and streaming. Schematron V2 Turbo is commonly used for high-volume web scraping, product and price extraction, turning pages into structured records and data pipelines. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.

Pricing is usage-based: $0.03 per million input tokens and $0.15 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inference-net/schematron-v2-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

Vendor	Inference.net
Type	Text
Context window	128,000 tokens
Pricing	$0.03/M in · $0.15/M out
API	Chat Completions
Capabilities	Streaming

Code example

cURL

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inference-net/schematron-v2-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Python

from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="inference-net/schematron-v2-turbo",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "inference-net/schematron-v2-turbo",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Inference.net: Schematron V2 Turbo API, paid in rial

Buy credit with an Iranian bank card; no foreign card or account needed.
One Hormouz key reaches Inference.net: Schematron V2 Turbo and 600+ other models, and you pay only for what you use.
No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.

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FAQ

How much does Schematron V2 Turbo cost?: Pricing is usage-based: $0.03 per million input tokens and $0.15 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Schematron V2 Turbo from inside Iran?: Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Schematron V2 Turbo compatible with OpenAI code?: Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Schematron V2 Turbo have?: It has a 128K-token context window, accepts text input, and supports structured JSON output and streaming.
What is Schematron V2 Turbo good for?: Typical uses are high-volume web scraping, product and price extraction, turning pages into structured records and data pipelines.

Updated 2026-10-13