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 in response_format rather than through system or user prompts.
$0.025
$0.025
$0.115
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough throughput data
Not enough TTFT data
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
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 in responseformat rather than through system or user prompts.
On NagaAI, Schematron V2 Small costs $0.025 per 1M input tokens and $0.115 per 1M output tokens. You pay only for what you use, with no subscription.
Schematron V2 Small reads up to 128k tokens in one request, counting the prompt and the answer together.
Schematron V2 Small can answer in a JSON schema you give it. Tool calling is not available for it.
It takes text as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
Not enough activity data to display a chart
