MODEL PROFILE

Schematron V2 Small

inference-net · schematron-v2-small

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...

Text generationstructured_outputs
Context window128,000 Token
Input → OutputText → Text
Model weightsOpen weights
Profile updated2026/11/7 04:07:46
OVERVIEW

Model overview

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...

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • Specialized in high-quality HTML-to-JSON extraction for complex schemas and long web pages
  • Accepts extraction instructions via JSON schema (schema-driven parsing)
  • Supports long-context input up to 128,000 tokens

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · inference-net/schematron-v2-small ↗USD 0.05USD 0.23Per million tokens2026/11/2 06:25:22

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

What input format does Schematron V2 Small require?

It requires raw HTML text as input and a separate JSON schema specifying the desired output structure.

Does it support arbitrary HTML parsing without a schema?

No — extraction instructions must be supplied through a JSON schema; it is not schema-agnostic.

Where is this model hosted or accessible?

It is available via OpenRouter, hosted by Inference.net (https://openrouter.ai/inference-net/schematron-v2-small).

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。