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Moonshot AI’s Kimi K2.5, the first trillion-parameter multimodal model, retires at month’s end
Moonshot announced via Kimi’s official Weibo that its inaugural trillion-parameter multimodal model, Kimi K2.5, will be retired by the end of this month. Launched and open-sourced in January, K2.5 stands as Kimi’s most versatile model to date, featuring a native multimodal architecture that handles visual and text inputs, supports both thinking and non-thinking modes, and enables dialogue and Agent tasks.
K3 Takes Over, Parameter Scale Rises Again
K2.5 achieved state-of-the-art performance in open-source models on tasks such as Agents, code, images, videos, and general intelligence. It is positioned as a general-purpose multimodal model that can switch between dialogue, complex reasoning, and automation tasks.
Its retirement also marks that Moonshot has officially shifted its focus to Kimi K3, which was open-sourced in July. This 2.8 trillion parameter model is built using the KDA hybrid linear attention mechanism and attention residual technology, and it natively supports visual understanding with a context window of up to 1 million tokens. The official stated that K3 is the first open-source model to reach a scale of 2.8 trillion parameters, and for the past 12 months, Kimi has held the record for the largest open-source model scale for 9 of those months.
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Moonshot announced via Kimi’s official Weibo that its inaugural trillion-parameter multimodal model, Kimi K2.5, will be retired by the end of this month. Launched and open-sourced in January, K2.5 stands as Kimi’s most versatile model to date, featuring a native multimodal architecture that handles visual and text inputs, supports both thinking and non-thinking modes, and enables dialogue and Agent tasks.
K3 Takes Over, Parameter Scale Rises Again
K2.5 achieved state-of-the-art performance in open-source models on tasks such as Agents, code, images, videos, and general intelligence. It is positioned as a general-purpose multimodal model that can switch between dialogue, complex reasoning, and automation tasks.
Its retirement also marks that Moonshot has officially shifted its focus to Kimi K3, which was open-sourced in July. This 2.8 trillion parameter model is built using the KDA hybrid linear attention mechanism and attention residual technology, and it natively supports visual understanding with a context window of up to 1 million tokens. The official stated that K3 is the first open-source model to reach a scale of 2.8 trillion parameters, and for the past 12 months, Kimi has held the record for the largest open-source model scale for 9 of those months.
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Digital twin technology enables bp to simulate energy asset operations, identifying improvement opportunities and predicting failures before they occur. Credit: bpRicky Burns, Transformation & Technology Manager at bp, explains how digital tools help
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