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English(EN) Beam 1.0 501B A23B (Reflection) hits the tracker with a 1M-token context and open weights, at $0.25 in / $1 out per 1M. A 501B MoE with only 23B active at that

Beam 1.0 开放权重模型提供 100 万 token 上下文,价格为 0.25 美元/100 万 token

Beam 1.0,一个 5010 亿参数的混合专家(MoE)模型,已发布开放权重版本。该模型拥有 100 万 token 的上下文窗口,仅使用 230 亿激活参数,输入每 100 万 token 成本为 0.25 美元,输出每 100 万 token 成本为 1 美元。 AI

影响 这款具有大上下文窗口和高效激活参数使用的开放权重模型,可能会显著降低高级 AI 应用的入门门槛。

排序理由 Frontier-lab 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 →

Beam 1.0 开放权重模型提供 100 万 token 上下文,价格为 0.25 美元/100 万 token

本文如何被排名

Signal score
15 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab 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 ·

    Beam 1.0 501B A23B (Reflection) 以 100 万 token 上下文和开放权重登陆 tracker,价格为每 100 万 token 0.25 美元 / 1 美元。一个 501B MoE 模型,其中仅 23B 参数处于激活状态

    Beam 1.0 501B A23B (Reflection) hits the tracker with a 1M-token context and open weights, at $0.25 in / $1 out per 1M. A 501B MoE with only 23B active at that price? Worth a look. https:// olud.ai/latest.html # AI # LLM # OpenSource