Schematron V2 Turbo
language modelInference Net
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...
Key facts
| Made by | Inference Net |
|---|---|
| Type | language model |
| Released | September 12, 2026 |
| Reads at once | 128,000 tokens |
| Price (API, per million tokens) | $0.03 in · $0.15 out |
| Input → output | text → text |
Questions about Schematron V2 Turbo
Who makes Schematron V2 Turbo?
Schematron V2 Turbo is made by Inference Net.
When was Schematron V2 Turbo released?
We first saw Schematron V2 Turbo listed on September 12, 2026.
How much does Schematron V2 Turbo cost?
Through OpenRouter it costs $0.03 per million input tokens and $0.15 per million output tokens. Prices change, so check the provider before you build on it.
How much text can Schematron V2 Turbo read at once?
Up to 128,000 tokens, roughly 96K words.
More from Inference Net
Schematron V2 SmallInference Net · language model
Sep 12, 2026released
Schematron V2.1 TurboInference Net · language model
Nov 26, 2026expected
Schematron V2.1 SmallInference Net · language model
Nov 26, 2026expected
Other language models
gpt2Openai Community · language model
Mar 2, 2022released
Qwen3.8Alibaba (Qwen) · language model
Aug 5, 2026released
Qwen3 VLAlibaba (Qwen) · language model
Sep 23, 2025released
Qwen2.5 VLAlibaba (Qwen) · language model
Jan 26, 2025released
optMeta · language model
May 11, 2022released
Qwen3.6Alibaba (Qwen) · language model
Apr 15, 2026released
Ollamaollama · language model
Jun 26, 2023released
pythiaEleutherAI · language model
Feb 8, 2023released
Modelcast collects this page automatically from public sources (OpenRouter). Facts are copied from those sources, not written by the maker. Not affiliated with Inference Net.