Schematron V2 Turbo API
Inference-net's Schematron V2 Turbo, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.
- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send schematron-v2-turbo as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.
Facts
- Model name
- schematron-v2-turbo
- Maker
- Inference-net
- Context window
- 128K tokens
- Input price
- $0.030 per million tokens
- Output price
- $0.150 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.030 input and $0.150 output per million tokens, $0.030 cache read per million tokens, 128K tokens of context
Request
curl https://router.inference.ai.exchange/v1/chat/completions \
-H "Authorization: Bearer $LIQUID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "schematron-v2-turbo",
"messages": [{"role":"user","content":"Say hello."}]
}'Questions
- What is Schematron V2 Turbo?
- Served by intent-router: each job goes to the cheapest healthy upstream for this model.
- How much does Schematron V2 Turbo cost?
- Offers now ask $0.030 per million input tokens and $0.150 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
- What is the context length of Schematron V2 Turbo?
- The largest offer takes 128,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can Schematron V2 Turbo do?
- Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
- What inputs and outputs does Schematron V2 Turbo support?
- Text → Text.
- Which providers serve Schematron V2 Turbo?
- 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
- How do I call Schematron V2 Turbo?
- Send "schematron-v2-turbo" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Schematron V2 Turbo listed?
- The exchange first listed it on 10/8/2026. This is not its release date.