Meta AI Models Muse Wonder, Muse Spark 1.3 And Muse Ember Arrive On Google Cloud

Meta CEO Mark Zuckerberg has announced that three of the company's artificial intelligence models – Muse Wonder, Muse Spark 1.3 and Muse Ember – are now available through Google Cloud’s Model Garden-managed APIs. The announcement brings Meta’s AI models to Google Cloud customers, expanding access to the company's latest multimodal and agentic AI technologies.

The models feature context windows of up to one million tokens and cater to different requirements, ranging from complex software engineering and multi-step automation to everyday coding and document analysis. Muse Ember is positioned as the smallest and most affordable option, delivering intelligence comparable to models such as Claude Haiku at approximately one-third of the per-task cost for sub-agent and repetitive workloads.

Google CEO Sundar Pichai responded to Zuckerberg's announcement, welcoming the models to Google Cloud and highlighting the collaboration between the companies. Google Cloud hosts and provides access to Meta's proprietary AI models for enterprise customers alongside its own Gemini offerings.

“ Muse Ember, Muse Spark 1.3, and Muse Wonder are now available on Google Cloud,” Mark Zuckerberg wrote in the post. “Congrats and welcome to the model garden, excited to serve our Google Cloud customers!,” Sundar Pichai replied.

Meta Muse Wonder: Advanced AI For Software Engineering And Complex Workflows

Muse Wonder is described as Meta's most capable frontier model, developed for demanding software engineering tasks and complex workflows. It aims to balance speed, reliability and deep persistence while supporting sophisticated operations across browsers, desktop environments and mobile applications.

The model offers native computer-use capabilities and long-context understanding, allowing it to handle multi-step tasks across different applications. Its capabilities include advanced coding, orchestration and multimodal reasoning, alongside sub-agent delegation, parallel tool calling and agentic memory.

Muse Wonder is designed for several demanding applications, including real-world software engineering, updates involving multiple files across repositories and end-to-end workflow automation. It can also work with everyday applications, support complex legal and professional knowledge tasks, and reason across extensive codebases.

What Is Muse Spark 1.3? Meta's Agentic AI Model Explained

Muse Spark 1.3 is an agentic AI model available through Google Cloud, designed to manage extended workflows while balancing intelligence, speed and scalable performance.

The model supports native tool calling and integration with Model Context Protocol (MCP) servers. These capabilities allow developers to build sophisticated AI agents capable of completing multi-step tasks across professional and personal environments.

Muse Spark 1.3 also provides coding, reasoning and autonomous execution capabilities. Its in-series specialisation is designed to support high-volume production environments on the Gemini platform.

Its primary applications include multi-step workflow automation, tool-enabled application development and extended agentic execution. The model can also power personal and enterprise assistants, coordinate complex API and MCP pipelines, accelerate software development and handle dynamic real-world tasks at scale.

Meta Muse Ember: Affordable Multimodal AI For Everyday Tasks

Muse Ember is an efficient multimodal execution model developed for repeated everyday workloads. Available through Google Cloud, it is designed to balance capabilities, throughput and cost efficiency.

The model supports text, image, audio and video processing, giving developers the flexibility to match the complexity of individual tasks with the appropriate AI capabilities across enterprise pipelines.

Its features include coding, tool calling and document analysis. The lightweight architecture is designed to complement Muse Wonder and Muse Spark on Google Cloud.

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Muse Ember is suited to everyday coding tasks, automated tool execution and large-scale document analysis. It can also function as an execution layer for complex multi-agent orchestration, process multimodal media and support the continued operation of long-running workflows.

With all three models now accessible through Google Cloud, developers and enterprise customers can explore Meta's AI offerings across a range of applications, from routine automation to advanced software engineering and multimodal processing.