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Schematron V2 Turbo

schematron-v2-turbo
APIProvider site

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... Built by InferenceNet.

Prices updated

Input price

$0.03

per 1M tokens · Standard

Output price

$0.15

per 1M tokens · Standard

Input limit

128K

tokens

Output limit

8K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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Schematron V2 Turbo price history

2 price records since 10/8/2026

Schematron V2 Turbo cost calculator

Input20M tokens
Output5M tokens

$1.35/month

Standard pricing

    Overview

    What is Schematron V2 Turbo?

    Schematron V2 Turbo is a text & reasoning model from InferenceNet. 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... Its 128K context window and $0.03 input price make it a candidate for cost-sensitive, high-throughput applications.

    Content workflowsClassification

    Rates

    Schematron V2 Turbo pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.03

    Per 1M tokens

    Cached input · Standard

    $0.03

    Per 1M tokens

    Capabilities

    Schematron V2 Turbo Tools

    Tools available when using Schematron V2 Turbo through supported provider APIs.

    Function calling

    Not supported

    Structured outputs

    Supported

    JSON mode

    Supported

    Reasoning

    Not supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.03 per million tokens suits high-volume workloads.
    • A 128K context window covers most focused application workflows.
    • Supports text & reasoning workloads in one model.

    Limitations

    • Generated tokens cost 5× more than input tokens, which matters for verbose responses.
    • The 128K context window is smaller than several long-context alternatives.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Schematron V2 Turbo

    Schematron V2 Turbo is a text & reasoning model from InferenceNet. 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...