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English(EN) ERNIE-Light-DT-1.0 from Baidu gives you 1M tokens of context at just $1.13 in/$3.94 out per 1M—open weights at that scale are rare. See how it compares to other

百度发布ERNIE-Light-DT-1.0，拥有100万token上下文窗口

作者 PulseAugur 编辑部 · [1 个来源] ·

百度发布了ERNIE-Light-DT-1.0，这是一款提供100万token上下文窗口的开放权重模型。该模型为长上下文处理提供了经济高效的解决方案，并详细说明了每百万输入和输出token的定价。 AI

影响 提供了一个罕见的开放权重、长上下文模型，可能降低需要大量上下文处理的应用的成本。

排序理由 百度发布的前沿模型，附带系统卡。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

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

百度发布ERNIE-Light-DT-1.0，拥有100万token上下文窗口

本文如何被排名

Signal score
20 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
百度发布的前沿模型，附带系统卡。[lever_c_demoted from frontier_release: 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, infra
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 ·

    百度ERNIE-Light-DT-1.0提供100万token上下文，输入仅需1.13美元/输出3.94美元（每100万token）——如此规模的开源权重模型十分罕见。看看它与其他模型的对比

    ERNIE-Light-DT-1.0 from Baidu gives you 1M tokens of context at just $1.13 in/$3.94 out per 1M—open weights at that scale are rare. See how it compares to other long-context options. https:// olud.ai/latest.html # AI # LLM # OpenSource

    链接 olud.ai/latest.html

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