Reka AI's Rho-1 architecture uses two expert weight streams within each transformer block—an understanding stream for language and visual parsing, and a generation stream for denoising latents—which share attention and a single KV cache

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441e85161Claim

Mach9 developed and trained proprietary in-house AI models to turn multimodal image and laser scan datasets into survey-grade geometry at centimeter accuracy.

441e85161Claim

Black Forest Labs incorporated shared training across images, video, and audio to help FLUX 3 Image Klein learn visual structure and physical behavior

441e85161Claim

Nvidia released Nemotron 3.5 Super VL, an open-weight multimodal 120-billion-parameter model designed for continuous enterprise AI agents on October 15, 2026

441e85161Claim

Meta's Muse Spark Open features 816 billion total parameters, 42 billion active parameters, up to 1 million tokens of context window, and native multimodal support for text, image, video, and audio

441e85161Claim

Nemotron 3.5 Super VL parses PDFs, tables, charts, and videos without requiring a separate vision model, achieving an 80.8 percent score on the CharXiv chart benchmark

441e85161Claim

Google broadly released its flagship Gemini 4 Argon multimodal AI model globally on October 13, 2026, making it available to developers, businesses, and consumers

441e85161Claim

Google reported that Gemini 4 Argon achieved an 87% score on Google's Embodied Reasoning Question Answering benchmark and instructed Apptronik's Apollo humanoid robot to land seven consecutive cornhole throws

441e85161Claim

OpenAI's launch of ChatGPT's Intelligent UI alongside GPT-6 signals a broader evolution of chatbots into multimodal experiences where text, images, and voice blend into a single interactive user experience

441e85161Claim

Reka AI's Rho-1 processes all modalities as tokens inside a single shared context window, eliminating the need for tool calls, external models, or multi-agent pipelines

441e85161Claim

On October 5, 2026, Reka AI released a research preview of Rho-1, a 19-billion-parameter omni-reasoning model that processes and generates text, images, video, and robot control actions in a single neural network

441e85161Claim

Single omni-models are more effective than multi-agent pipelines for multimodal AI

441e85161Claim

To address scarce robot training data, Reka AI paired Rho-1 with an Inverse Dynamics Model that infers control signals from raw internet videos

441e85161Claim

Reka AI's Rho-1 training combines next-token prediction for discrete sequences, such as text and symbolic reasoning, with flow matching for continuous outputs, including image latents, video frames, and robot actions

441e85161Claim

Rho-1 outputs native continuous action tokens and future video frames from the same latent state, emitting 7 action channels in a LIBERO simulation episode

441e85161Claim

Unlike ByteDance BAGEL, BAAI Emu3.5, and Google Genie 3 (which takes navigation inputs and supports steering), which do not output robot actions, Reka AI's Rho-1 emits native continuous action tokens and supports real-time steering

441e85161Claim

Mistral released a public preview of Mistral Large 4, a natively multimodal model with one trillion parameters, on October 6, 2026

441e85161Claim

Mistral Large 4, nicknamed "le Chonk," features a fine-grained mixture-of-experts architecture with 1.05 trillion total parameters, a 1.6 billion parameter vision encoder, and a one million token context window

441e85161Claim

Black Forest Labs released Flux 3 Video on August 4, 2026, as part of its multimodal Flux 3 family.

441e85161Claim

Cloudflare's Clef supports a 64k-token context window and can process text, images, and video, whereas TypeSafe AI's Jev is limited to text

441e85161Claim

Mach9 developed and trained proprietary in-house AI models to turn multimodal image and laser scan datasets into survey-grade geometry at centimeter accuracy.

Black Forest Labs incorporated shared training across images, video, and audio to help FLUX 3 Image Klein learn visual structure and physical behavior

Nvidia released Nemotron 3.5 Super VL, an open-weight multimodal 120-billion-parameter model designed for continuous enterprise AI agents on October 15, 2026

Meta's Muse Spark Open features 816 billion total parameters, 42 billion active parameters, up to 1 million tokens of context window, and native multimodal support for text, image, video, and audio

Nemotron 3.5 Super VL parses PDFs, tables, charts, and videos without requiring a separate vision model, achieving an 80.8 percent score on the CharXiv chart benchmark

Google broadly released its flagship Gemini 4 Argon multimodal AI model globally on October 13, 2026, making it available to developers, businesses, and consumers

Google reported that Gemini 4 Argon achieved an 87% score on Google's Embodied Reasoning Question Answering benchmark and instructed Apptronik's Apollo humanoid robot to land seven consecutive cornhole throws

OpenAI's launch of ChatGPT's Intelligent UI alongside GPT-6 signals a broader evolution of chatbots into multimodal experiences where text, images, and voice blend into a single interactive user experience

Reka AI's Rho-1 processes all modalities as tokens inside a single shared context window, eliminating the need for tool calls, external models, or multi-agent pipelines

On October 5, 2026, Reka AI released a research preview of Rho-1, a 19-billion-parameter omni-reasoning model that processes and generates text, images, video, and robot control actions in a single neural network

Single omni-models are more effective than multi-agent pipelines for multimodal AI

To address scarce robot training data, Reka AI paired Rho-1 with an Inverse Dynamics Model that infers control signals from raw internet videos

Reka AI's Rho-1 training combines next-token prediction for discrete sequences, such as text and symbolic reasoning, with flow matching for continuous outputs, including image latents, video frames, and robot actions

Rho-1 outputs native continuous action tokens and future video frames from the same latent state, emitting 7 action channels in a LIBERO simulation episode

Unlike ByteDance BAGEL, BAAI Emu3.5, and Google Genie 3 (which takes navigation inputs and supports steering), which do not output robot actions, Reka AI's Rho-1 emits native continuous action tokens and supports real-time steering

Mistral released a public preview of Mistral Large 4, a natively multimodal model with one trillion parameters, on October 6, 2026

Mistral Large 4, nicknamed "le Chonk," features a fine-grained mixture-of-experts architecture with 1.05 trillion total parameters, a 1.6 billion parameter vision encoder, and a one million token context window

Black Forest Labs released Flux 3 Video on August 4, 2026, as part of its multimodal Flux 3 family.

Cloudflare's Clef supports a 64k-token context window and can process text, images, and video, whereas TypeSafe AI's Jev is limited to text

Clef is based on the Qwen3.8-27B model and Clef-flash is based on the Qwen3.5-9B model, with both keeping their respective base vision encoders