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Schematron V2 Turbo pricing and routing profile

Schematron V2 Turbo from Inference Net lists at $0.03 per million input tokens and $0.15 per million output tokens, with a 128,000-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.03
Output, per 1M tokens$0.15
Cached input, per 1M$0.03
Context window128K
Confidence signalNot exposed

Structured output

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.0195
Chat reply (2,000 in, 400 out)$0.12
Retrieval-augmented answer (8,000 in, 500 out)$0.315

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Not as a first-answer model through OpenRouter: no host returns token log probabilities for Schematron V2 Turbo. It can still be the model Gimbix falls back to when a cheaper model is unsure.

Cheaper models that can answer first

Models priced below Schematron V2 Turbo that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
Granite 4.0 Micro$0.017 / $0.11234%
gpt-oss-20b$0.018 / $0.0940%
Ling 3.0 Flash$0.021 / $0.06344%
Ling 3.0 Flash VL$0.021 / $0.061644%
Mistral Nemo$0.019 / $0.0358%

Questions

How much does Schematron V2 Turbo cost?

Schematron V2 Turbo lists at $0.03 per million input tokens and $0.15 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.12 per 1,000 requests.

What is the context window of Schematron V2 Turbo?

128,000 tokens.

Can a cheaper model replace Schematron V2 Turbo?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Schematron V2 Turbo on one half of your requests and make at most three answers worse on the other.