Kimi K3.1 Pro on Bedrock: speed, cost and data handling
In brief
According to AWS, Moonshot AI's Kimi K3.1 Pro Highspeed is now available on Amazon Bedrock. Moonshot AI says the model has a one-million-token context window, targets long agent workflows with fewer factual errors, and is stronger on financial models and office documents. AWS states that data stays inside its boundary, is not shared with Moonshot AI and is not used for training.
Source : AWS Machine Learning Blog - « Introducing Kimi K3.1 Pro on Amazon Bedrock »
What it changes for an SME
If you do not already use Amazon Bedrock, this launch does not change your costs or timelines. If you do, AWS says you can try this faster model by changing the model ID, and that your data is not shared with Moonshot AI, is not kept after inference, and cannot be viewed by AWS operators during inference. The Flex tier costs half the Standard rate, in return for possibly slower replies. The inference profiles described cover global routing, the United States and India; the cheaper global profile sends requests to any supported commercial AWS Region.
What you can do
- If you already call Kimi K3 on Bedrock, change the model ID to test this version.
- For non-urgent work such as summaries or evaluations, check whether the Flex tier reduces your bill.
- Check the inference profile (global, US or India) against your data residency rules.
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