Inference.net: Schematron V2 Small: AI model
Schematron V2 Small is a small model that turns web pages (HTML) into JSON, tuned for accuracy from Inference.net with a 128K-token context window. Reachable from inside Iran through Hormouz.
- Context window:
- 128,000 tokens
- Input:
- $0.05/1M tokens
- Output:
- $0.23/1M tokens
- Type:
- text
- Streaming
- Long context
Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model. Unlike the Turbo version, it puts extraction quality first, so it handles complex schemas and long pages more reliably. You describe what to extract with a JSON schema in response_format rather than in the prompt, and it fills that schema from the page.
It accepts text input and returns text, and supports structured JSON output and streaming. Schematron V2 Small is commonly used for extracting structured data from complex or long web pages, catalogue building and document-to-record 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: $0.05 per million input tokens and $0.23 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 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...
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-small",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Inference.net |
|---|---|
| Type | Text |
| Context window | 128,000 tokens |
| Pricing | $0.05/M in · $0.23/M out |
| API | Chat Completions |
| Capabilities | Streaming |
Code example
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-small",
"messages": [{"role": "user", "content": "Hello!"}]
}'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-small",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)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-small",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the Inference.net: Schematron V2 Small 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 Small 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.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- How much does Schematron V2 Small cost?
- Pricing is usage-based: $0.05 per million input tokens and $0.23 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 Small 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 Small 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 Small have?
- It has a 128K-token context window, accepts text input, and supports structured JSON output and streaming.
- What is Schematron V2 Small good for?
- Typical uses are extracting structured data from complex or long web pages, catalogue building and document-to-record pipelines.
Updated 2026-10-13