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Reka Releases Rho-1 19B Omni-Reasoning Model

Reka introduces Rho-1, a 19B parameter omni-reasoning model handling text, images, video, and robot actions within a single network.

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06 Oct 2026Source: MarkTechPost2 min read (0 views)
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Reka Releases Rho-1 19B Omni-Reasoning Model

Stock photo for illustration only, not from the actual event

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  • Reka has officially released Rho-1, a 19B model trained entirely from scratch.
  • It reads and generates text, images, video, and robot actions over a shared KV cache.
  • A distilled variant is capable of generating a 5.3-second video clip in about one second.
  • The release is currently a research preview with public model weights not yet available.

Reka has made a significant stride in artificial intelligence by unveiling Rho-1, a brand-new 19-billion parameter omni-reasoning model. This advanced system has been trained completely from scratch to deliver unprecedented multimodal capabilities within a unified architecture.

The core innovation of Rho-1 lies in its single-network design, which allows it to seamlessly read and generate text, images, and videos while directly outputting robotic control actions. All of these diverse modalities operate efficiently over a shared KV cache.

robotics laboratory technology engineering

Stock photo for illustration only, not from the actual event

19BModel Parameters
5.3sVideo Clip Length
~1sClip Generation Time

In terms of generation speed, a distilled variant of the model proves exceptionally fast, capable of producing a 5.3-second video clip in approximately one second, highlighting its potential for responsive deployment.

Integrating text, vision, video generation, and robotic control into a single 19B network marks a crucial shift toward unified multimodal foundation models. This approach reduces architectural friction and paves the way for more cohesive autonomous robotic systems in real-world environments.

Interested developers and researchers should note that Rho-1 is currently offered solely as a research preview. Reka has not yet released the public model weights for wider deployment.

Source: MarkTechPost

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