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CaixinUpdated Oct 26 09:24

Moonshot AI launches Kimi K3.1 Pro, a post-trained version of K3

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In the early hours of October 24, Moonshot AI (Kimi) officially launched Kimi K3.1 Pro. This is the post-trained version of Kimi K3 and its most capable 3-trillion-parameter model to date, supporting a 1 million context window. Kimi says the model shows particularly notable improvements in coding, 3D creation, financial research and other long-horizon Agent capabilities. This is the first time Kimi has introduced a Pro version in its model versions, and K3.1 Pro is also the first model in the K3.1 series, leaving room for subsequent releases of cost-effective models.

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Kimi introduces a Pro tier in its version lineup for the first time, with specs including 3 trillion parameters and a 1 million context window, which can be compared with its product tiering approach.

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T Morning Brief|Kimi launches its first Pro version model; UK government allocates £600 million for a dedicated AI safety fund; Musk announces SpaceX has completed $40 billion in debt financing

2026-10-26 08:28:10 Source: Caixin Online Author: Yang Zirui Responsible Editor: Qu Yunxu

October 26, 2026 08:28

In the early hours of October 24, Moonshot AI (Kimi) officially launched Kimi K3.1 Pro. Image: Visual China

[Caixin Online]

Kimi iterates a 3-trillion-parameter large model, launching its first Pro version model

According to Caixin Online, in the early hours of October 24, Moonshot AI (Kimi) officially launched Kimi K3.1 Pro. Kimi said that Kimi K3.1 Pro is a post-training version of Kimi K3 and its most capable 3-trillion-level parameter model to date, supporting a 1-million-token context, with particularly notable improvements in coding, 3D creation, financial research and other long-horizon Agent capabilities. Recently, domestic models have successively released Flash-level models to capture the cost-effectiveness market. Kimi has also, for the first time, introduced a Pro model in its model versions, saying this is the first model in the K3.1 series, leaving room for the release of cost-effective models.

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