Using Schematron V2 Turbo on Vercel AI Gateway

Implementation guide · Schematron

Serverless

Vercel AI Gateway exposes Schematron V2 Turbo through model ID inference-net/schematron-v2-turbo. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-19. Next refresh: weekly.

Quick Start

1
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call inference-net/schematron-v2-turbo — see the documentation for request format.
3
You'll be billed $0.03/1M input, $0.15/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

inference-net/schematron-v2-turbo

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="inference-net/schematron-v2-turbo",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.03
Output tokens	$0.15

Capabilities

Structured Outputs

About Schematron V2 Turbo

Schematron V2 Turbo (API id inference-net/schematron-v2-turbo) is Inference.net's HTML→JSON schema extraction model. 3B params, 125K context. Released with Schematron V2 family 2026-04-16. FP pricing $0.03/$0.15 per 1M.

Full model details →

Model Specs

Released2026-04-16

Parameters3B

Context125K

Vercel