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Musk: Grok Bot no longer relies only on its own in-house models, selecting the best of Claude, Midjourney and Suno by task

On October 7, Musk announced on X a major adjustment to Grok Bot's underlying logic: this resident AI coworker will no longer rely solely on SpaceXAI's in-house Grok series, but will automatically select the best backend…

On October 7, Musk dropped an important note on X that changes Grok Bot's underlying logic: this resident AI coworker will no longer recognize only SpaceXAI's in-house Grok series, but will instead automatically pick the best backend model for the job depending on the specific task.

He wrote that Grok Bot will in the future call other leading APIs for user tasks, including Claude Opus5.5, Midjourney and Suno, with the system making its choice based on the sole criterion of what is most likely to give users the best results. Technically, Grok Bot is shifting from an approach centered on in-house, self-owned models to a task-oriented multi-model hybrid architecture — for text, image and audio work, whoever performs best gets assigned, and third-party APIs are no longer shut out.

The vehicle for this approach is itself quite special. Grok Bot is a resident AI coworker launched by SpaceXAI in beta in August 2026: it is not just a Q&A chatbot, but can log into your commonly used websites and applications on a cloud computer, run multi-step tasks on its own, and only come back to you for approval when a human decision is needed. Every Grok Bot has a name, responsibilities and continuously accumulating context; you can hand work to it the way you'd message a coworker, via text, voice or voice calls; and it runs on a cloud computer equipped with a browser, file system and terminal, so even if you turn off your phone and computer, background tasks and scheduled tasks will keep running on their own.

When Musk tore down the wall of 'only use our own models,' Grok Bot transformed from an agent bound to an in-house stack into a dispatching hub that picks and chooses its troops — what users want is no longer the intelligence of a particular brand, but results that truly get the job done well. This step also quietly pushes the competition among AI coworkers from a contest of models to a contest of orchestration.

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