by Inference.netReleased Sep 12, 2026
inference-net/schematron-v2-smallSchematron 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...
| Billed for | You pay |
|---|---|
| Input tokens | $0.06 / 1M |
| Output tokens | $0.28 / 1M |
| Cached input, read | $0.06 / 1M |
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-small", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});$0.06 per million input tokens and $0.28 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0003.
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-small. The token's AI credit pays for each call.
Up to 128,000 tokens of context, and up to 4,096 tokens in one answer.
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
| Provider | Answered, 24 h |
|---|---|
| InferenceNetbf16 | 99.9% |