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English(EN) Schematron V2 Small (Inference net) ships open-weight with a 128k context and aggressive pricing—$0.05 in, $0.23 out per 1M—putting it well under many closed ri

Schematron V2 Small 开放权重,拥有 128k 上下文和低廉定价

Schematron V2 Small 是一款开放权重的推理模型,已发布并支持 128k 的上下文窗口。其主要优势在于极具竞争力的定价:每 100 万个 token 的输入费用为 0.05 美元,输出费用为 0.23 美元。这一定价策略旨在将其定位为比许多闭源模型更具成本效益的替代方案。 AI

影响 在开源大语言模型领域提供了一个经济高效、支持大上下文的替代方案。

排序理由 发布了一款具有显著上下文窗口和定价优势的开放权重模型。[lever_c_demoted from research: ic=1 ai=1.0]

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Schematron V2 Small 开放权重,拥有 128k 上下文和低廉定价

本文如何被排名

Signal score
12 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
发布了一款具有显著上下文窗口和定价优势的开放权重模型。[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 — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    Schematron V2 Small (推理网络) 开源发布,拥有 128k 上下文和极具竞争力的定价——每 100 万 token 输入 0.05 美元,输出 0.23 美元——远低于许多闭源模型

    Schematron V2 Small (Inference net) ships open-weight with a 128k context and aggressive pricing—$0.05 in, $0.23 out per 1M—putting it well under many closed rivals. That cost-per-token edge is the real story here, not just the specs. 🧠 https:// olud.ai/latest.html # AI # LLM # O…