inference-netmodel

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 cheap long-context

Best for

Bulk Data ExtractionHigh-Volume TasksLong DocumentsBook Summarisation

Try in Playground Compare →Alternatives →Price history →

Context Window

128K tokens ≈ 284 pages of text

Input Cost

$0.05/1M

Output Cost

$0.23/1M

Latency p50

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Pricing Details

Standard Pricing

Input (per 1M tokens)

$0.05

Output (per 1M tokens)

$0.23

Price history

11/1/2026$0.05 in / $0.23 out

Run it locally

Local run command

# Refer to provider docs:

Presumptive Specs:

Typical GPU

12–24 GB VRAM

System RAM

16+ GB

Disk

20+ GB free

Runtime

Docker / local runtime

Hallucination Score™ (est.)

Community reliability estimate · not official

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Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

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Provider

inference-net

Usage & Examples

Learn how to use Inference.net: Schematron V2 Small

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Inference.net: Schematron V2 Small works best.

Community Prompts

Proven prompts shared by the community for this model

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