Perplexity Adds Moonshot Kimi K2.6 for Pro and Max Subscribers

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Perplexity added Kimi K2.6, a state-of-the-art open-weight model from Moonshot, to its library for Pro and Max subscribers. The model is now available as a selectable reasoning engine for users on the platform's paid tiers.

Perplexity integrated Kimi K2.6, a state-of-the-art open-weight model from Moonshot, into its platform for Pro and Max subscribers. The model, which mirrors the performance of top programming models, provides a new option for users requiring advanced reasoning within the search engine's interface.

This addition follows the integration of other open models to the platform to expand the variety of available reasoning engines. By incorporating models from diverse labs, the platform strengthens its position as a model-agnostic hub for agentic workflows requiring specialized capabilities.

Subscribers can now access the new model to power their queries and tasks. This includes workflows managed by the Personal Computer feature, which orchestrates actions across local files and applications using the platform's library of frontier models.

Still wondering? A few quick answers below.

Kimi K2.6 is a state-of-the-art open-weight model developed by Moonshot. Perplexity has integrated this model to offer its subscribers a new option for their searches and tasks within the platform's ecosystem. It is designed to provide state-of-the-art reasoning capabilities as a selectable engine.

Kimi K2.6 is currently available to users with a Perplexity Pro or Max subscription. These paid tiers allow users to select the model as their primary reasoning engine for queries. It is not available to users on the free version of the platform at this time.

An open-weight model is an AI system where the trained weights and parameters are released to the public. This differs from closed models where the underlying technology is kept private by the developer. Perplexity users can now access this open-weight technology directly through the platform's interface.

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