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...
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Among the 428 chat models on CoreAI, Inference.net: Schematron V2 Turbo ranks #358 by context window — 128K tokens, roughly 96,000 words or 192 pages of text in a single conversation. On price, it is the #6 cheapest of 141 budget-tier models by input cost. Released 2026-09-12, it is one of the 1 newest additions to the catalog.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Inference.net: Schematron V2 Turbo and Inference.net: Schematron V2 Small side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00010 on Inference.net: Schematron V2 Turbo's raw per-token rates; a heavy session with a 50K-token document costs about $0.002. On CoreAI you don't juggle these numbers — one subscription covers Inference.net: Schematron V2 Turbo and 300+ other models under a plan usage limit, with no API keys. See plans.
Inference.net: Schematron V2 Turbo handles 128K tokens of context — roughly 96,000 words, or about 192 pages of text in one conversation.
Inference.net: Schematron V2 Turbo's underlying rates are $0.03 per 1M input tokens and $0.15 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — Inference.net: Schematron V2 Turbo is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.
No — Inference.net: Schematron V2 Turbo answers directly without an extended reasoning phase, which usually means faster responses.
Open the CoreAI web app or the iOS/Android app, pick Inference.net: Schematron V2 Turbo in the model selector, and chat — no API key, no per-token billing. One subscription covers Inference.net: Schematron V2 Turbo and 300+ other models.
The closest alternatives on CoreAI are Inference.net: Schematron V2 Small, ByteDance: UI-TARS 7B , IBM: Granite 4.0 Micro — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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