Which LLM is the cheapest for our workload?

The best-for pages rank the live catalogue per task by the index that measures it, and the router picks the cheapest model that meets your quality rule for each request.

How much can we save on our LLM bill?

On the public benchmark the router saved 89% against sending everything to the reference model. Import last month's provider bill on the bill page and the estimate is computed on your own traffic before you change a line of code.

How often do model prices change?

The catalogue is refreshed from the vendors' price lists; each model page shows the date of its data.

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OpenSmartRoute

Schematron V2 Turbo by Inference Net: pricing, context window and specs - OpenSmartRoute

Model catalogue

Inference Net

Schematron V2 Turbo

inference-net/schematron-v2-turboCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.

JSON

Specification

Published by the vendor; the platform bills at the target's declared price.

Schematron V2 Turbo

open weights

Inference Net inference-net/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...

Input $/1M: $0.03
Output $/1M: $0.15
Context: 128K
Max output: 8K
Released: Sep 12, 2026
Modalities: text

Cached input reads $0.03 per 1M · weights on Hugging Face as inference-net/schematron-v2-granite-4.0-h-micro

Alternatives, and where the router puts Schematron V2 Turbo

Schematron V2 Turbo earns a request when it needs running on your own hardware; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.03 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.

Cheaper alternatives

Lower input price and an intelligence index within 5 points (this model has no published index).

On this deployment

Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.

Not available here yet

Signed in, add the model under Model providers; self-hosting, add a target with metadata.model set to this id.

targets.yamlyaml

# targets.yaml - declare a target that runs Schematron V2 Turbo
targets:
  - id: schematron-v2-turbo
    kind: llm
    name: Schematron V2 Turbo
    metadata:
      model: inference-net/schematron-v2-turbo          # links the target to this catalogue entry
    capabilities:
      domains: [general]
      supports_tools: false
      context_window: 128000
    cost:
      usd_per_1k_tokens: 0.000090

Price among Inference Net models

Input list price per million tokens; Schematron V2 Turbo is the cheapest of 2 listed.

1
Schematron V2 Turbo
$0.03
2
Schematron V2 Small
$0.05

More from Inference Net

Other models by the same vendor in the catalogue.

List price is where the decision starts

Schematron V2 Turbo earns a request when it beats the field on your objective, not on the vendor's page.

The specification above is what Inference Net publishes. What the router uses is the price you actually pay here, the latency measured on this deployment and the outcomes people reported - and it compares those against every other model that could take the request. Price a workload on the estimator, or send one live in the playground.

Photo: RDNE Stock project

For the business

What it means for which models you pay for.

Catalogue of every vendor
The right model, not the famous one
Price, context, abilities and benchmark indexes side by side, with the model that fits each task named.
The rankings
89% less
Lower cost per request
On the 150-prompt benchmark the router spent 89% less than sending every prompt to the reference model, and the judged quality went up, not down.
Read the benchmark
Per million tokens, every model
Prices you can compare

Specification

Schematron V2 Turbo

Alternatives, and where the router puts Schematron V2 Turbo

Cheaper alternatives

On this deployment

Price among Inference Net models

More from Inference Net

Schematron V2 Turbo earns a request when it beats the field on your objective, not on the vendor's page.

What it means for which models you pay for.

The right model, not the famous one

Lower cost per request

Prices you can compare

Better alternatives