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

Named practitioner synthesis

#434

T3digested
Topic
Open Models
First seen
2026-07-17 07:16:08
Last seen
2026-07-17 07:16:08

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  • Blog / Newsletter2026-07-17 07:15:44
    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 promised "by July 27, 2026".</p> <p>Moonshot are calling this the first "open 3T-class model" (I guess they're rounding 2.8 trillion up to 3 trillion), taking the crown from <a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro">DeepSeek's 1.6T v4 Pro</a>. Their <a href="https://www.kimi.com/blog/kimi-k3#full-benchmark-table">self-reported benchmarks</a> have K3 mostly beating Claude Opus 4.8 max and GPT-5.5 high, while losing out to Claude Fable 5 and GPT-5.6 Sol.</p> <p>A few highlights from the <a href="https://twitter.com/ArtificialAnlys/status/2077832874183860404">Artificial Analysis report</a> on the model:</p> <ul> <li>"On our private long-horizon knowledge work evaluation, Kimi K3 reaches an overall El