Google Cloud Adds Meta's Muse AI Models
Meta's Muse Ember, Muse Spark 1.3 and Muse Wonder models are now available through Google Cloud's Model Garden managed APIs.
Updated on Nov. 10, 2026 in Artificial Intelligence
Google Cloud has made Meta's Muse Ember, Muse Spark 1.3 and Muse Wonder models available through its Model Garden managed APIs. Mark Zuckerberg announced the availability in a post on X, and Sundar Pichai publicly welcomed the models in reply.
Why it matters
The move places Meta's proprietary AI models alongside Google's own Gemini offerings on a major enterprise cloud platform. It gives enterprise customers another option for deploying Meta's models without managing the infrastructure themselves.
The Muse models are multimodal with 1M token context windows, and Muse Ember is described as delivering intelligence comparable to Claude Haiku at roughly one-third the per-task cost. These figures are Meta's claims, and independent verification of the comparison was not provided.
The players
Meta
Meta Platforms is the technology company that developed the Muse family of AI models and is best known for its social media platforms including Facebook and Instagram.
Google Cloud
Google Cloud is the cloud computing division of Alphabet that offers enterprise infrastructure, AI services, and its own Gemini models.
Mark Zuckerberg
Mark Zuckerberg is the co-founder and chief executive of Meta, who announced the availability of the Muse models on X.
Sundar Pichai
Sundar Pichai is the chief executive of Alphabet and Google, who publicly welcomed Meta's models onto Google Cloud.
The details
Google Cloud hosts and serves Meta's proprietary Muse models through its Model Garden managed APIs for enterprise customers. Muse Wonder is Meta's most capable frontier model, built for complex software engineering with native computer use, while Muse Spark 1.3 is designed for long-horizon agentic workflows with native tool calling and MCP server integration.
Timeline
Meta's Muse models became available on Google Cloud, with the announcement published on November 10, 2026.
The Tech Race
Google Cloud's Model Garden now hosts Meta's proprietary Muse models next to Google's own Gemini, extending the platform's role as a marketplace for multiple frontier AI providers. The move underscores the cloud-provider arms race in which hyperscalers compete by offering access to rival models rather than only their own.
Enterprise developers gain another option for building agentic and software-engineering applications on Google Cloud without managing model infrastructure. Pricing and deployment details will determine how practical the Muse models are compared with existing alternatives.
The takeaway
Developers evaluating AI models for long-running or repetitive tasks should weigh per-task cost alongside capability, since Meta's claims about Muse Ember's efficiency have yet to be independently tested. Comparing these models on your own workloads will show whether the reported savings hold up.
Further reading
For more on the broader race among AI developers, see the Artificial Intelligence section.
