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Inference.net: Schematron V2 Small API Pricing

Inference.net: Schematron V2 Small costs $0.050 per 1M input tokens and $0.230 per 1M output tokens (cache reads: $0.050). Context window: 128K. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Inference.net: Schematron V2 Turbo
$0.030 in / $0.150 out

Cheapest inference-net model — 37% less per month

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
$0.050
Output / 1M tokens
$0.230
Context window
128K
Max output
4K

Token economics

Token typePricevs base input
Standard input$0.050—
Cache read$0.050−0%
Output$0.230—

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

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

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.32
Coding agent5,0008,000 / 2,000$4.30
RAG pipeline30,0004,000 / 500$9.45
Doc summarizer2,00020,000 / 1,000$2.46

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

About Inference.net: Schematron V2 Small

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...

Compare Inference.net: Schematron V2 Small with

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

Frequently asked questions

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

Inference.net: Schematron V2 Small costs $0.050 per 1M input tokens and $0.230 per 1M output tokens; cached input tokens cost $0.050 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 4K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.050/1M, about 0% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

Mistral: Mistral Nemo saves about 71% on a typical workload with comparable quality.

Official resources