Schematron V2 Small

Inference Netinference-net/schematron-v2-smallProviders: 1
Inputi$0.05per 1M tokens
Outputi$0.23per 1M tokens
Contexti128K128,000 tokens
ReleasedSep 12, 2026Max output: 4K

About this model

Schematron V2 Small is an AI model from Inference Net, made available through the API on September 12, 2026. It can read up to 128,000 tokens in one request, roughly 240 pages of text, and write up to 4,096 tokens in a single answer.

Through the API it costs $0.05 per million input tokens and $0.23 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.

Its weights are openly published (inference-net/schematron-v2-llama-3.2-3b), so it can also be downloaded and run on your own hardware.

Quality scores

Rankings →

Not rated yet. Independent test results usually appear a few weeks after a model is released.

Benchmark data: Epoch AI, licensed CC BY 4.0

Where to use it

Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.

ProviderInputiOutputiContextiUptime (24 h)i
InferenceNet
$0.05$0.23128K99.9%

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Use it in your code

Call Schematron V2 Small through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "inference-net/schematron-v2-small", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

What it costs in practice

  • 1,000 chat replies
    ≈ 500 tokens in, 300 out each
    $0.094
  • Summarise a 100-page document
    ≈ 50,000 tokens in, 1,000 out
    $0.0027
  • An app with 10,000 requests a day for a month
    ≈ 1,000 tokens in, 400 out each
    $42.60

Cost calculator →

Similar-priced alternatives

ModelInputiOutputiContexti
$0.05$0.20512KCompare with ⇄
$0.05$0.20256KCompare with ⇄
$0.05$0.40400KCompare with ⇄
Gemma 3 4BGoogle DeepMind
$0.05$0.10128KCompare with ⇄
Mistral Small 3Mistral AI
$0.05$0.0832KCompare with ⇄
$0.05$0.33128KCompare with ⇄

Frequently asked questions

How much does Schematron V2 Small cost?
Schematron V2 Small costs $0.05 per million input tokens and $0.23 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.094.
What is the context window of Schematron V2 Small?
Schematron V2 Small can read up to 128,000 tokens in one request, about 240 pages of text. It can write up to 4,096 tokens in a single answer.
Is Schematron V2 Small open source?
Yes. Its weights are published (inference-net/schematron-v2-llama-3.2-3b), so you can download it and run it on your own hardware, or use it through one of 1 API providers.
Who makes Schematron V2 Small?
Schematron V2 Small is made by Inference Net. It became available through the API on September 12, 2026.
Can Schematron V2 Small read images?
No. Schematron V2 Small only accepts text as input.
What are the alternatives to Schematron V2 Small?
Models with a similar price from other companies include Solar Mini 4, Nemotron 3 Nano 30B A3B and GPT-5 Nano. You can compare them side by side on this page.