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Inference.net: Schematron V2 Turbo API Pricing

Inference.net: Schematron V2 Turbo costs $0.030 per 1M input tokens and $0.150 per 1M output tokens (cache reads: $0.030). Context window: 128K. Prices verified 2026-10-21 · source

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Price history
2026-09-12 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.030
Output / 1M tokens
$0.150
Context window
128K
Max output
8K

Token economics

Token typePricevs base input
Standard input$0.030—
Cache read$0.030−0%
Output$0.150—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

What would Inference.net: Schematron V2 Turbo cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$0.84
Coding agent5,0008,000 / 2,000$2.70
RAG pipeline30,0004,000 / 500$5.85
Doc summarizer2,00020,000 / 1,000$1.50

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About 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...

Compare Inference.net: Schematron V2 Turbo with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Inference.net: Schematron V2 Turbo cost?

Inference.net: Schematron V2 Turbo costs $0.030 per 1M input tokens and $0.150 per 1M output tokens; cached input tokens cost $0.030 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 8K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.030/1M, about 0% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

Check the value chart for models with similar intelligence at lower cost.

Official resources