Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather than through system or user prompts.
$0.015
$0.015
$0.075
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.
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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 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in responseformat rather than through system or user prompts.
On NagaAI, Schematron V2 Turbo costs $0.015 per 1M input tokens and $0.075 per 1M output tokens. You pay only for what you use, with no subscription.
Schematron V2 Turbo reads up to 128k tokens in one request, counting the prompt and the answer together.
Schematron V2 Turbo 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.
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