Schematron V2 Small
inference-
Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net.
$0.055 in · $0.253 out per 1M tokens128k contextSep 12, 2026
A typical message: about 500 tokens you send and 500 it writes.
Spec sheet
Published facts from the catalog, billed prices and what we measured here. Anything not measured says so.
Price, billed here
- Input, per 1M tokens
- $0.055provider $0.05
- Output, per 1M tokens
- $0.253provider $0.23
- Cached input, per 1M
- $0.055provider $0.05
- Margin
- +10%
Context and formats
- Context window
- 128,000 tokens
- Longest answer
- 8,192 tokens
- Reads
- text
- Makes
- text
- First listed
- 2026-09-12
Measured here, last 7 days
- First token, median
- not measured
- Answered without error
- not measured
Tools and JSON
- Tool calling
- not declared
- JSON output
- declaredthe provider's claim, not yet measured here
Price and latency history as JSON: GET /.
About
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...
In Inference.net's words.
Try it here
Measured here
Call it
Use one OpenAI compatible endpoint, this model's id and an am_live_ key from the dashboard. You can also try it in chat first with no key.
curl https://useantimatter.com/v1/chat/completions \
-H "Authorization: Bearer $ANTIMATTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "inference-net/schematron-v2-small", "messages": [{"role": "user", "content": "Hello"}]}'Everything else is in the docs.
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A badge showing this model's live price per million tokens, as billed here, for a README or a site. It links back to this page.
<a href="https://useantimatter.com/planet/inference-net/schematron-v2-small"><img src="https://useantimatter.com/api/badge/price?id=inference-net%2Fschematron-v2-small" alt="Schematron V2 Small price on Antimatter" height="28"></a>More from Inference.net
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