/ Models

Language models

Inference.net: Schematron V2 Small

Inference-net · inference-net/schematron-v2-small

Runs in the cloud, on our API — not on your own machine.

open weights

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...

Install on 00

Get the 00 app

Free · macOS

Your agents, your models, your machine — this model installs with one click once the app is on board.

Download free →

What it costs

Input / 1M
$0.1
Output / 1M
$0.46
1M in + 1M out
$0.56
Cache read / 1M
$0.1

Final AI-token prices, per million tokens. Bring your own provider key in the app to pay provider rates directly.

What it can do

Takes
text
Returns
text
Tools
no
Reasoning
no
Context window
128K tokens
Max output
4K tokens
Open weights
yes

Dates

Released
2026-09-12
Knowledge cutoff
—
Retires
—

Using it

In the 00 app — pick it per agent, and per tier, then build your own agents on it. Get 00.

As a drop-in API — the same model at an OpenAI-compatible endpoint. Two settings:

  1. Create a workspace API key in the Overblast console — usage bills that workspace's AI tokens, at the prices on this page.
  2. Point your base URL at https://brain.deployd.network/ai/v1. Chat completions with streaming, embeddings, /images, /audio/transcriptions and /videos.
curl https://brain.deployd.network/ai/v1/chat/completions \
  -H "Authorization: Bearer ob_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "inference-net/schematron-v2-small",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

← all models · compare it with another · calling image, video and speech models