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Moonshot AI releases Kimi K3.1 Pro with 2.8T parameters, using 104B per inference

By PulseAugur Editorial · [1 sources] ·

Moonshot AI has released the weights for its Kimi K3.1 Pro model, which boasts 2.8 trillion parameters. This large model utilizes a sparse attention mechanism and a mixture-of-experts approach, allowing it to activate only 104 billion parameters for each inference task. This efficiency is key to managing the computational demands of such a massive AI. AI

IMPACT This release showcases advancements in efficient parameter utilization for extremely large models, potentially influencing future large-scale AI development.

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

Read on Towards AI →

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

Moonshot AI releases Kimi K3.1 Pro with 2.8T parameters, using 104B per inference

How we ranked this

Signal score
90 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab model release with system card. [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, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Pop Alexandru ·

    This AI Model Has 2.8 Trillion Parameters. It Only Uses 104 Billion at a Time.

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/this-ai-model-has-2-8-trillion-parameters-it-only-uses-104-billion-at-a-time-c614fbbf1433?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/738/1*stlTll4CKw3p…

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