Sundar Pichai Welcomes Meta’s AI Models to Google Cloud
In Short
Google Cloud has added three of Meta’s advanced AI models, strengthening collaboration between the technology giants and expanding enterprise AI choices.
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Sundar Pichai Welcomes Meta’s AI Models to Google Cloud
Meta CEO Mark Zuckerberg has said that three of the company’s intelligence models are now available on Google Cloud. This is another step in the expanding relationship between big technology companies. Google CEO Sundar Pichai said he is happy with this decision. He pointed out the teamwork, between the two companies in providing AI tools to business customers.
Zuckerberg recently shared the announcement on X, confirming that Meta's Muse Ember, Muse Spark 1.3 and Muse Wonder are now available through Google Cloud's Model Garden managed APIs.
All three models support multimodal capabilities and feature context windows of up to one million tokens, allowing them to process large amounts of information. Among them, Muse Ember is positioned as the smallest and most affordable option. It is designed to deliver intelligence comparable to models such as Claude Haiku at approximately one-third of the per-task cost, making it suitable for repetitive activities and sub-agent workloads.
“Muse Ember, Muse Spark 1.3, and Muse Wonder are now available on Google Cloud,” Mark Zuckerberg wrote in the post.
Responding to the announcement, Sundar Pichai welcomed Meta's models to Google's platform and expressed enthusiasm about making them available to customers.
“Congrats and welcome to the model garden, excited to serve our Google Cloud customers!,” Sundar Pichai replied.
What is Muse Wonder?
Muse Wonder is described as Metas powerful frontier model. It was created for tough software engineering tasks. It brings together performance, strong reliability and smart thinking. It can manage processes in browsers on desktops and, in mobile apps.
The model supports native computer use, long-context understanding, parallel tool calling, sub-agent delegation and agentic memory. Its capabilities make it suitable for software development, updating multiple files in large code repositories, workflow automation and professional tasks involving extensive information.
What is Muse Spark 1.3?
Muse Spark 1.3 is designed as a workhorse agentic model for handling lengthy and complicated workflows. It combines intelligence, speed and scalable performance, with native tool calling and MCP server integration.
The model can help with AI assistants handle -step tasks automatically manage complicated API workflows and speed up software development. It can work on its own. Think through problems, which makes it useful, for businesses and individuals alike.
What is Muse Ember?
Muse Ember is Metas multimodal model. Muse Ember was built to handle tasks efficiently while keeping operating costs low.
It handles text, images, audio and video processing. It also supports coding, tool calling and document analysis. Its main uses are coding work, automatic execution, large-scale document review and managing high-volume workflows.
With these changes Google Cloud users can get options when it comes to AI models. They can pick from levels of speed features and prices based on what they need.
