
What happened
Kimi K3.1 Pro Highspeed, a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, is now on Amazon Bedrock with 2–3 times the speed of Kimi K3.1 Pro, per Moonshot AI.
Why it matters
The extra post-training targets long-horizon agentic work and fewer factual errors, and the higher output-token rate shortens each step of a coding agent's edit-test-fix loop, so developers wait less between iterations.
WHO IT HITSEnterprise AI developers and platform teams already building on Amazon Bedrock can try the model by changing the model ID in existing code, without changing their security posture.
Summaries like this, every morning.
Kimi K3.1 Pro Highspeed is part of Moonshot AI's new K3.1 series, and it is a post-trained version of Kimi K3 rather than a new base architecture. That means it keeps the same 3T-class open-weight design and 1-million-token context window as Kimi K3, but was trained with substantially more post-training compute. According to Moonshot AI, that extra training targets long-horizon agentic work and fewer factual errors, while also improving professional tasks such as financial modeling and office documents and coding for game engines, 3D scenes, and computer-aided design scripts.
The launch also positions speed as the headline difference. Kimi K3.1 Pro Highspeed generates output tokens at a higher rate, and Moonshot AI reports 2–3 times the speed of Kimi K3.1 Pro. For coding agents, that matters because a single task involves many model calls in a row, each of which must finish before the next starts, so a higher output-token rate shortens every step of the edit-test-fix loop. The model is reachable through the same endpoint, APIs, and features as Kimi K3 on Amazon Bedrock, so existing builders can try it by changing the model ID in their code, and it is available through global, US, and India cross-Region inference profiles for workloads with data residency needs.
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