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English(EN) Tencent Hy3 Review: 21B-Active Open MoE That Beat GLM-5.1 in a Blind Test

腾讯 Hy3 开源 MoE 模型在盲测中击败 GLM-5.1

腾讯发布了 Hy3,一个拥有 210 亿激活参数的开源混合专家(MoE)模型,在盲测中表现优于智谱的 GLM-5.1。该模型拥有 2950 亿总参数和 256K 上下文窗口,根据 Apache 2.0 许可协议发布。Hy3 可通过 OpenRouter 和腾讯云访问,并提供免费推理的促销期至 2026 年 7 月 21 日。 AI

影响 为开源 MoE 模型树立了新的基准,可能影响大型语言模型领域的路由决策和竞争。

排序理由 腾讯 Hy3 模型发布,附带系统卡。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Towards AI 阅读 →

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

腾讯 Hy3 开源 MoE 模型在盲测中击败 GLM-5.1

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
腾讯 Hy3 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, 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
87 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Towards AI TIER_1 English(EN) · Kashif Mehmood ·

    Tencent Hy3 评测:21B 参数激活的 MoE 模型,在盲测中击败 GLM-5.1

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/tencent-hy3-review-21b-active-open-moe-that-beat-glm-5-1-in-a-blind-test-f2e8700d5a5d?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1376/1*uQUTgoDaALKK6nF…