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Schematron V2 Turbo open-weight model released with 128k context

Schematron V2 Turbo, an open-weight model, has been released with a 128k context window. Its pricing is set at $0.03/$0.15 per 1M tokens, making it significantly cheaper than many closed-source alternatives. The model's capabilities at this cost are noted as worth investigating. AI

IMPACT Provides a cost-effective, high-context-window open-weight model option for developers and researchers.

RANK_REASON Release of an open-weight model with specific technical details and pricing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Schematron V2 Turbo open-weight model released with 128k context

How we ranked this

Signal score
14 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Release of an open-weight model with specific technical details and pricing. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Schematron V2 Turbo (Inference net) is new and open-weight, with a 128k context window and $0.03/$0.15 per 1M tokens. That pricing puts it well under many close

    Schematron V2 Turbo (Inference net) is new and open-weight, with a 128k context window and $0.03/$0.15 per 1M tokens. That pricing puts it well under many closed rivals—worth checking what it actually does at that cost. https:// olud.ai/latest.html # AI # LLM # OpenSource