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Moonshot launches Kimi K3 with 2.8T parameters and 1M context window

By PulseAugur Editorial · [1 sources] ·

Moonshot has launched its Kimi K3 model, a 2.8-trillion-parameter Mixture-of-Experts model with a context window of over 1 million tokens. The model features a new Kimi Delta Attention mechanism, which combines linear and full attention layers to improve efficiency. While Moonshot has released impressive demonstrations and vendor-run benchmarks, the article emphasizes the importance of distinguishing these from objectively verifiable structural facts and independent third-party signals. AI

IMPACT Sets a new benchmark for parameter count and context window size, potentially influencing future model development.

RANK_REASON Frontier-lab model release with system card and technical details. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Moonshot launches Kimi K3 with 2.8T parameters and 1M context window

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52 / 100
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Significant
Frontier-lab model release with system card and technical details. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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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.
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model release
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Felix ·

    Kimi K3: What's Actually Verified vs What's Vendor Benchmark

    <p>Moonshot's launch materials for Kimi K3 include a demo where the model spent 48 hours autonomously designing a physical chip — architecture, optimization, and verification, using open-source EDA tools — and ended up with a working 4-square-millimeter design that hit timing con…

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