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Explore the models available through Noumen. Compare capabilities, context windows, and reference pricing, then see which models people use most and how they score on public benchmarks.

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The newest models available through Noumen, ready to use in the app and the API.

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2 models
  • Schematron V2 Smallinference-netCapabilities: Structured outputContext128KInput / 1M$0.05Output / 1M$0.23Show model details

    Inference.net's 3B-parameter HTML-to-JSON extraction model, focused on accuracy for complex schemas and long web pages. It turns HTML into typed, structured data for web scraping and product catalog ingestion, with a 128K-token context window. Supply HTML in the user message and extraction instructions in a JSON schema via response_format; it does not follow ordinary chat or system prompts.

    Model ID
    inference-net/schematron-v2-small
    Discovery tier
    Efficient
    Context window
    128,000 tokens
    Benchmarks, speed and comparisons
  • Schematron V2 Turboinference-netCapabilities: Structured outputContext128KInput / 1M$0.03Output / 1M$0.15Show model details

    Inference.net's 3B-parameter HTML-to-JSON extraction model, optimized for throughput and low cost on high-volume workloads. It turns HTML into typed, structured data for web scraping and product catalog ingestion, with a 128K-token context window. Supply HTML in the user message and extraction instructions in a JSON schema via response_format; it does not follow ordinary chat or system prompts.

    Model ID
    inference-net/schematron-v2-turbo
    Discovery tier
    Efficient
    Context window
    128,000 tokens
    Benchmarks, speed and comparisons

Reference pricing in USD per 1M tokens, as published by model providers. Discovery tiers describe model metadata, rather than benchmark rankings.