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Introducing Kimi K3 on Amazon Bedrock

Moonshot's Kimi K3 hits Amazon Bedrock with 1M-token context and native vision — a new open-weight option for coding teams.

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The KeyNews take

Why it matters

Practitioners can now access Kimi K3 through Bedrock's managed API, expanding open-weight choices for coding and knowledge work alongside proprietary alternatives. The 1M-token window and prompt caching address real latency/cost pain points in production.

The key facts

8 to know
  1. Kimi K3 now available on Amazon Bedrock

  2. Open-weight model option

  3. 1-million-token context window

  4. Native vision capabilities

  5. Explicit prompt caching for latency and input cost reduction

  6. Positioned for coding and knowledge work

  7. Native vision capability

  8. Explicit prompt caching for latency and cost reduction

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Kimi K3 from Moonshot AI is now available on Amazon Bedrock, giving you a powerful new open-weight option for coding and knowledge work. It offers native vision, a 1-million-token context window, and explicit prompt caching to reduce latency and input costs.
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