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English(EN) 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 开源模型发布，支持 128k 上下文

作者 PulseAugur 编辑部 · [1 个来源] ·

Schematron V2 Turbo，一个开源模型，已发布，支持 128k 上下文窗口。其定价为每 100 万个 token 0.03 美元/0.15 美元，使其比许多闭源替代品便宜得多。该模型在此成本下的能力值得研究。 AI

影响 为开发者和研究人员提供了一个具有成本效益、高上下文窗口的开源模型选项。

排序理由 发布了一个具有特定技术细节和定价的开源模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Schematron V2 Turbo 开源模型发布，支持 128k 上下文

本文如何被排名

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
发布了一个具有特定技术细节和定价的开源模型。[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
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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.

完整方法见我们的编辑标准。

报道来源 [1]

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

    Schematron V2 Turbo (推理网络) 是新的且开源的，拥有 128k 上下文窗口，每 100 万个 token 价格为 0.03 美元/0.15 美元。该定价使其远低于许多接近的竞争对手

    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

    链接 olud.ai/latest.html

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