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Moonshot AI releases Kimi K3, a 2.8T parameter open-source model

By PulseAugur Editorial · [2 sources] ·

Moonshot AI has released Kimi K3, a new flagship model boasting 2.8 trillion parameters and a 1 million token context window. This open-source model represents a significant scaling achievement, demonstrating 2.5x efficiency over its predecessor, Kimi K2. The technical report details Kimi K3's innovative architecture, including Kimi Delta Attention (KDA) and Gated MLA with No Position Encoding (NoPE), which enable its impressive scale and long-context capabilities. AI

IMPACT Sets a new benchmark for open-source model scale and efficiency, potentially accelerating research and development in large context window models.

RANK_REASON Frontier-lab model release with technical report and open-source availability. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Moonshot AI releases Kimi K3, a 2.8T parameter open-source model

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Significant
Frontier-lab model release with technical report and open-source availability. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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2 independent sources
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model release, infra
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High
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60 days old
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COVERAGE [2]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    We wrote up a comprehensive guide on using Kimi K3

    We wrote up a comprehensive guide on using Kimi K3 Read it here 👇

  2. Towards AI TIER_1 English(EN) · Mengliu Zhao ·

    Inside Kimi K3 Technical Report

    <h4>The success of linear attention and the new era of scaling</h4><p>Kimi-series latest model, K3, got scaled up to 2.8 trillion parameters. <em>Impressive.</em></p><p>Moonshot AI’s <a href="https://arxiv.org/pdf/2607.24653">Kimi K3 technical report</a> opens with a model that i…

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