Schematron V2 Small
inference-net/schematron-v2-smallSchematron V2 Small (inference-net/schematron-v2-small) is an AI model from Inference Net with a 128,000-token context window and 4,096 max output tokens, priced at $0.05/1M input and $0.23/1M output tokens. Available via the haimaker.ai OpenAI-compatible API.
Overview
Schematron V2 Small is a chat model by Inference Net. It supports a 128K token context window.
Features & Capabilities
| Mode | chat |
| Context Window | 128,000 tokens |
| Max Output | 4,096 tokens |
| Function Calling | Not supported |
| Vision | Not supported |
| Reasoning | Not supported |
| Web Search | Not supported |
| Url Context | Not supported |
API Usage
from openai import OpenAI
client = OpenAI(
base_url="https://api.haimaker.ai/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="inference-net/schematron-v2-small",
messages=[
{"role": "user", "content": "Hello, how are you?"}
],
)
print(response.choices[0].message.content)Frequently Asked Questions
What is the context window of Schematron V2 Small?
Schematron V2 Small (inference-net/schematron-v2-small) has a 128,000-token context window and supports up to 4,096 output tokens per request.
How much does Schematron V2 Small cost?
Schematron V2 Small is priced at $0.05 per 1M input tokens and $0.23 per 1M output tokens when accessed via the haimaker.ai OpenAI-compatible API.
How do I use Schematron V2 Small via API?
Send requests to https://api.haimaker.ai/v1/chat/completions with model "inference-net/schematron-v2-small" using any OpenAI-compatible SDK. Authentication uses a Bearer API key from https://app.haimaker.ai.
Use Schematron V2 Small with the haimaker API
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