Inference Net: Schematron V2 Small

Efficient model for low-latency assistance, extraction, and routine automation

Source-linked Closed weights Released 2026-04-16

API record Report

InputT

OutputT

Input price$0.05/M

Output price$0.23/M

Context128K

Max output4.096K

Providers5

Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

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Providers offering Schematron V2 Small
Provider	Provider model ID	Context	Max output	Input	Output	Cache read	Capabilities	Docs
NanoGPT	`inference-net/schematron-v2-small`	128K	4.096K	$0.05	$0.23	$0.025	JSON	Docs ↗
Kilo Gateway	`inference-net/schematron-v2-small`	128K	4.096K	$0.05	$0.23	$0.05	JSON	Docs ↗
OpenRouter	`inference-net/schematron-v2-small`	128K	4.096K	$0.05	$0.23	$0.05	JSON	Docs ↗
Vercel AI Gateway	`inference-net/schematron-v2-small`	128K	4.096K	$0.05	$0.23	$0.05	JSON	Docs ↗
AI/ML API	`inference-net/schematron-v2-small`	128K	4.096K	$0.053	$0.243	—	JSON	Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.05/M

Across 5 priced providers

Median input $0.05/M

Midpoint of listed rates

Highest input $0.053/M

1.1× the lowest listed rate

Output range $0.23 – $0.243

Per million output tokens

NanoGPT $0.05/M

Kilo Gateway $0.05/M

OpenRouter $0.05/M

Vercel AI Gateway $0.05/M

AI/ML API $0.053/M

Cost calculator

Estimate a workload

Provider Input tokens 1,000,000 Output tokens 250,000 Cached input 0%

$0.00

Excludes taxes, non-token charges, and tiered discounts.

4 providers list the identical $0.05 input rate, so price alone will not separate them — compare context limits, max output, and capabilities above.

Specification

Capabilities

Recorded from the source catalog and provider listings.

× Reasoning No

× Tool calling No

✓ Structured output Yes

× Attachments No

× Vision input No

× Open weights No

Creator: Inference Net
Model family: Not documented
Knowledge cutoff: Not documented
License: Not documented
Release date: 2026-04-16
Model ID: inference-net/schematron-v2-small

Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry

No published benchmark results

ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.

Read the methodology

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log

Oct 24, 2026Price Completion0.22999999999999998 → 0.23

Oct 24, 2026Price Prompt0.049999999999999996 → 0.05

Oct 24, 2026Price Completion0.23 → 0.22999999999999998

Oct 24, 2026Price Prompt0.05 → 0.049999999999999996

Oct 24, 2026Price Completion0.22999999999999998 → 0.23

Oct 24, 2026Price Prompt0.049999999999999996 → 0.05

Oct 24, 2026Price Completion0.23 → 0.22999999999999998

Oct 24, 2026Price Prompt0.05 → 0.049999999999999996

Oct 24, 2026Price Completion0.22999999999999998 → 0.23

Oct 24, 2026Price Prompt0.049999999999999996 → 0.05

Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology

Last verified: Oct 24, 2026
Status: Source-linked
Confidence: Medium
Catalog source: Models.dev

Models.devcatalog ↗NanoGPT documentationprovider documentation ↗Kilo Gateway documentationprovider documentation ↗OpenRouter documentationprovider documentation ↗Vercel AI Gateway documentationprovider documentation ↗AI/ML API documentationprovider documentation ↗

Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation

Endpoint

GET https://modelbench.lol/api/v1/models/inference-net/schematron-v2-small

curl

curl "https://modelbench.lol/api/v1/models/inference-net/schematron-v2-small"

Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Schematron V2 Small?

Efficient model for low-latency assistance, extraction, and routine automation. It is published by Inference Net and catalogued here from Models.dev.

How much does Schematron V2 Small cost?

Listed input pricing starts at $0.05 per million tokens from NanoGPT, rising to $0.053 across 5 listed providers.

What is the context length of Schematron V2 Small?

Schematron V2 Small accepts up to 128K tokens of context and returns up to 4.096K output tokens.

Does Schematron V2 Small support tool calling and structured output?

Provider catalogs list support for structured output.

Which providers serve Schematron V2 Small?

5 providers list this model: NanoGPT, Kilo Gateway, OpenRouter, Vercel AI Gateway, AI/ML API.

Are the weights for Schematron V2 Small open?

No. This model is served through hosted APIs only.

When was Schematron V2 Small released?

The catalog records a release date of 2026-04-16, last verified Oct 24, 2026.

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