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Community: Schematron V2 Turbo

schematron-v2-turbo

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Schematron V2 Turbo costs $0.039 per million input tokens and $0.195 per million output tokens, supports 128K context, and is available through the OpenAI-compatible API.

Inference.net's 3B-parameter HTML-to-JSON extraction model, optimized for throughput and low cost on high-volume workloads. It turns HTML into typed, structured data for web scraping and product catalog ingestion, with a 128K-token context window. Supply HTML in the user message and extraction instructions in a JSON schema via response_format; it does not follow ordinary chat or system prompts.

Modalities

Text → Text

Input / output price

$0.039 / $0.195 per 1M

Context

128K · max output 8K

Capabilities

—

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.039
Output$0.195
Cached input$0.0195

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00027
Per day
$0.1365
Per month (30 days)
$4.10

Schematron V2 Turbo: input $0.039/M · output $0.195/M · cached input $0.0195/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "schematron-v2-turbo", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to schematron-v2-turbo.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "schematron-v2-turbo",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is Schematron V2 Turbo billed?
Input is $0.039 and output is $0.195 per million tokens; cached input is $0.0195. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
128K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.
Schematron V2 Turbo API pricing · GeniusRelay