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English(EN) Kimi K3, and what we can still learn from the pelican benchmark https://simonwillison.net/2026/Jul/16/kimi-k3/#atom-everything # AI # LLM # OpenSource

Moonshot AI 发布 Kimi K3,一款参数量为 2.8T 且定价更高的 LLM

Moonshot AI 发布了 Kimi K3,一款拥有 2.8 万亿参数的新型大型语言模型,被描述为其迄今为止能力最强的模型。该模型可通过 API 和网站访问,预计将于 2026 年 7 月 27 日发布开源权重版本。Kimi K3 在基准测试中表现强劲,通常超越 Claude Opus 4.8GPT-5.5 high,但落后于 Claude Fable 5GPT-5.6 Sol。值得注意的是,Kimi K3 显著提高了中国 AI 实验室的价格,输入 token 价格为 3 美元/百万,输出 token 价格为 15 美元/百万。 AI

影响 为开源模型的参数量设定了新基准,并引入了更高的定价,可能影响未来的模型开发和成本结构。

排序理由 前沿实验室模型发布,附带系统卡。[lever_c_降级自 frontier_release: ic=2 ai=1.0]

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Moonshot AI 发布 Kimi K3,一款参数量为 2.8T 且定价更高的 LLM

报道来源 [3]

  1. Simon Willison TIER_1 English(EN) ·

    Kimi K3, and what we can still learn from the pelican benchmark

    <p>Chinese AI lab Moonshot AI <a href="https://www.kimi.com/blog/kimi-k3">announced Kimi K3</a> this morning, describing it as their "most capable model to date, with 2.8 trillion parameters". It's currently available via their website and API, but an open weight release is promi…

  2. Bluesky Jetstream — AI desk TIER_1 English(EN) · simonwillison.net ·

    My notes on Kimi K3, plus some thoughts on what we can still learn from the pelican benchmark even while it becomes further detached from how good the models ar

    My notes on Kimi K3, plus some thoughts on what we can still learn from the pelican benchmark even while it becomes further detached from how good the models are at the things that matter (like agentic tool calling across longer conversations) simonwillison.net/2026/Jul/16/...

  3. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Kimi K3, and what we can still learn from the pelican benchmark https://simonwillison.net/2026/Jul/16/kimi-k3/#atom-everything # AI # LLM # OpenSource

    Kimi K3, and what we can still learn from the pelican benchmark https://simonwillison.net/2026/Jul/16/kimi-k3/#atom-everything # AI # LLM # OpenSource