Introducing Kimi K3.1 Pro on Amazon Bedrock

Part of Moonshot AI’s new K3.1 series, it’s a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, trained with substantially more post-training compute.

Kimi K3. 1 Pro Highspeed from Moonshot AI is now available on Amazon Bedrock . Part of Moonshot AI’s new K3. 1 series, it’s a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, trained with substantially more post-training compute. The useful part sits in the context, the practical impact, and what readers can use to decide the next step.

Thảo Nguyên Security and Editorial Policy Editor

Introducing Kimi K3.1 Pro on Amazon Bedrock

Kimi K3.1 Pro Highspeed from Moonshot AI is now available on Amazon Bedrock . Part of Moonshot AI’s new K3.1 series, it’s a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, trained with substantially more post-training compute.

What happened

According to Moonshot AI, that extra training targets long-horizon agentic work and fewer factual errors. It also improves professional tasks such as financial modeling and office documents, and coding for game engines, 3D scenes, and computer-aided design (CAD) scripts. 1 Pro Highspeed generates output tokens at a higher rate and Moonshot AI reports 2–3 times the speed of Kimi K3. 1 Pro.

Where the sources line up

1 Pro Highspeed uses the same endpoint, APIs, and features as Kimi K3 on Amazon Bedrock. If you already build with Kimi K3, you can try it by changing the model ID in your existing code.

Practical impact for readers

1 Pro Highspeed supports tool calling, structured output, configurable reasoning, image input, and streaming. You can adopt Kimi K3. 1 Pro Highspeed without changing your security posture. Your data is processed within the AWS data boundary, isn’t shared with Moonshot AI, and isn’t used to train the model. Zero data retention is always enabled for inference requests, and with zero operator access, AWS operators can’t view your prompts and completions during inference.

Who should pay attention now

In this post, we show you how to get started with Kimi K3. 1 Pro Highspeed on Amazon Bedrock. We also cover how to lower costs with the Flex tier, explicit prompt caching for repeated context, and how to use the model as a coding assistant in OpenCode.

What is still unclear

To try the model without writing code, open the Amazon Bedrock console , choose Test , then Playground , and select Kimi K3. 1 .

Source notes

AWS ML Blog