Schematron V2 Turbo

by Inference.netinference-net/schematron-v2-turbo

  • Text
  • No route yet
  • Released

LLMCompare cannot run Schematron V2 Turbo yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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Schematron V2 Turbo at a glance

Context length
128,000 tokens
Maximum output
8,192 tokens
Accepts
Text
Returns
Text
Features
JSON outputPrompt caching
Reasoning effort levels
Not supported
Released
12 Sep 2026
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

Schematron V2 Turbo pricing by route

A route is the service LLMCompare calls to reach the model. Schematron V2 Turbo has 1 route. Prices are in US dollars.

Prices of Schematron V2 Turbo on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.03$0.15$0.03openrouter.ai/inference-net/schematron-v2-turbo

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Schematron V2 Turbo costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Cost per call
$0.00011
1 credits
Cost of 100 calls
$0.0105
100 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of Schematron V2 Turbo
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 8,192Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About Schematron V2 Turbo

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...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Schematron V2 Turbo

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Schematron V2 Turbo
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Schematron V2 SmallInference.netinference-net/schematron-v2-small128k4.1k$0.05$0.23JSONCacheNo route yet
DeepSeek V4 Flash 0731DeepSeekdeepseek/deepseek-v4-flash-07311.05M131k$0.0444$0.1333ReasoningJSONToolsCacheNo route yet
Nova Micro 1.0Amazonamazon/nova-micro-v1128k5.1k$0.035$0.14ToolsNo route yet
Command R7B (12-2024)Coherecohere/command-r7b-12-2024128k4k$0.0375$0.15JSONNo route yet
Mercury 2.5Inceptioninception/mercury-2.5260k65.5k$0.04$0.15ReasoningJSONToolsCacheNo route yet
MythoMax 13Bgryphegryphe/mythomax-l2-13b8.2k3.7k$0.08$0.11JSONNo route yet

Questions about Schematron V2 Turbo

How much does Schematron V2 Turbo cost?
On the OpenRouter route, Schematron V2 Turbo costs $0.03 per 1 million input tokens and $0.15 per 1 million output tokens, in US dollars. Input tokens that Schematron V2 Turbo reads from the prompt cache cost $0.03 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of Schematron V2 Turbo?
Schematron V2 Turbo has a context length of 128,000 tokens and returns up to 8,192 output tokens in one call.
What inputs does Schematron V2 Turbo accept?
Schematron V2 Turbo accepts these inputs: Text. Schematron V2 Turbo returns: Text.
Can I test Schematron V2 Turbo on my own data?
Not yet. LLMCompare lists the prices and parameters of Schematron V2 Turbo, but no route to Schematron V2 Turbo is configured on LLMCompare, so it cannot be selected for an evaluation.