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---
title: Moonshot opens Kimi K3 weights — but few can run it
description: Moonshot AI has released open weights for Kimi K3 on Hugging Face, a 2.8-trillion-parameter Mixture-of-Experts model targeting enterprise coding and knowledge...
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og:description: Moonshot AI has released open weights for Kimi K3 on Hugging Face, a 2.8-trillion-parameter Mixture-of-Experts model targeting enterprise coding and knowledge...
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# Moonshot opens Kimi K3 weights — but few can run it

**[The New Stack](https://daily.dev/sources/newstack)** · 5 min read · 0 upvotes · 0 comments

## Summary

Moonshot AI has released open weights for Kimi K3 on Hugging Face, a 2.8-trillion-parameter Mixture-of-Experts model targeting enterprise coding and knowledge work. Despite its OpenAI-compatible API and one-million-token context window, self-hosting requires roughly 64 NVIDIA H100 or B200 GPUs across eight servers, making practical deployment accessible only to well-resourced organizations. The model competes on SWE-bench with proprietary frontier models and reportedly matches Claude Fable 5 on coding tasks at about a third of the cost, though running four times slower. Moonshot is candid about limitations including always-on reasoning and potential over-proactivity on ambiguous prompts. The release is shadowed by geopolitical scrutiny: Anthropic and U.S. officials allege Moonshot distilled outputs from American frontier models during training, which Moonshot denies. Enterprise buyers must weigh performance, infrastructure costs, and potential compliance and regulatory risks alongside benchmark results.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/kimi-k3-open-weights>

---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts), [#kimi-k3](https://daily.dev/tags/kimi-k3)

[View this post on daily.dev](https://daily.dev/posts/moonshot-opens-kimi-k3-weights-but-few-can-run-it-nkwpiami9)

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