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Inference Net: Schematron V2 Turbo

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$0.03/M
Output price$0.15/M
Context128K
Max output8.192K
Providers5
Inference availability

Providers

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

Report a price
Providers offering Schematron V2 Turbo
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
NanoGPT inference-net/schematron-v2-turbo 128K 8.192K $0.03 $0.15 $0.015 JSON Docs ↗
Kilo Gateway inference-net/schematron-v2-turbo 128K 8.192K $0.03 $0.15 $0.03 JSON Docs ↗
OpenRouter inference-net/schematron-v2-turbo 128K 8.192K $0.03 $0.15 $0.03 JSON Docs ↗
Vercel AI Gateway inference-net/schematron-v2-turbo 128K 8.192K $0.03 $0.15 $0.03 JSON Docs ↗
AI/ML API inference-net/schematron-v2-turbo 128K 8.192K $0.032 $0.159 — 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 $0.03/M

Across 5 priced providers

Median input $0.03/M

Midpoint of listed rates

Highest input $0.032/M

1.1× the lowest listed rate

Output range $0.15 – $0.159

Per million output tokens

NanoGPT $0.03/M
Kilo Gateway $0.03/M
OpenRouter $0.03/M
Vercel AI Gateway $0.03/M
AI/ML API $0.032/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

4 providers list the identical $0.03 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
Model family
Not documented
Knowledge cutoff
Not documented
License
Not documented
Release date
2026-04-16
Model ID
inference-net/schematron-v2-turbo
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
No changes recorded

This record has not changed within the retained import history.

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

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 Turbo cost?

Listed input pricing starts at $0.03 per million tokens from NanoGPT, rising to $0.032 across 5 listed providers.

What is the context length of Schematron V2 Turbo?

Schematron V2 Turbo accepts up to 128K tokens of context and returns up to 8.192K output tokens.

Does Schematron V2 Turbo support tool calling and structured output?

Provider catalogs list support for structured output.

Which providers serve Schematron V2 Turbo?

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

Are the weights for Schematron V2 Turbo open?

No. This model is served through hosted APIs only.

When was Schematron V2 Turbo released?

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

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