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English(EN) Baidu just released ERNIE-5.5-Flash-Preview open-weight — 1M token context at $0.28 in / $1.13 out per 1M, making long-context inference cheaper than most rival

百度发布ERNIE-5.5-Flash-Preview,支持100万token上下文

百度发布了ERNIE-5.5-Flash-Preview,这是一个开放权重模型,拥有100万token的上下文窗口。该新模型为长上下文推理提供了具有竞争力的定价,输入成本为每百万token 0.28美元,输出成本为每百万token 1.13美元。此次发布旨在使长上下文功能比市场上其他模型更容易获得。 AI

影响 以具有竞争力的价格提供100万token上下文窗口,可能降低长上下文AI应用的成本障碍。

排序理由 百度ERNIE-5.5-Flash-Preview模型发布,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-5.5-Flash-Preview,支持100万token上下文

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
Significant
百度ERNIE-5.5-Flash-Preview模型发布,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 ·

    百度发布ERNIE-5.5-Flash-Preview开源模型 — 100万token上下文,每百万token输入0.28美元/输出1.13美元,长上下文推理成本低于大多数竞品

    Baidu just released ERNIE-5.5-Flash-Preview open-weight — 1M token context at $0.28 in / $1.13 out per 1M, making long-context inference cheaper than most rivals. https:// olud.ai/latest.html # AI # LLM # OpenSource