Schematron V2 Turbo
by Inference.netReleased Sep 12, 2026
inference-net/schematron-v2-turbo- Answers in a JSON schema
- Caches long prompts
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...
- Input / 1M tokens
- $0.036
- Output / 1M tokens
- $0.18
- Context
- 128K
- Longest answer
- 8K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.036 / 1M |
| Output tokens | $0.18 / 1M |
| Cached input, read | $0.036 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0002
- calls per $20
- 123K
What it can do
From its listing. The router passes every field through.
- Reads imagesNo
- Reads files and PDFsNo
- Hears audioNo
- Calls toolsNo
- Answers in a JSON schemaYes
- Reasons before it answersNo
- Searches the webNo
- Caches long promptsYes
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "inference-net/schematron-v2-turbo", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Text
- Writes
- Text
- Context
- 128,000 tokens
- Longest answer
- 8,192 tokens
- Released
- Sep 12, 2026
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- logit_bias
- max_tokens
- min_p
- presence_penalty
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- top_k
- top_p
Questions
How much does Schematron V2 Turbo cost?
$0.036 per million input tokens and $0.18 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0002.
How do I call Schematron V2 Turbo?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id inference-net/schematron-v2-turbo. The token's AI credit pays for each call.
How long a prompt can Schematron V2 Turbo take?
Up to 128,000 tokens of context, and up to 8,192 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
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