Meta's three new Muse AI models are now on Google Cloud, giving business customers more choices and a possible way to cut costs on routine work.
Meta's newest AI models are now available on Google Cloud, Google's service that businesses rent to run software. Meta CEO Mark Zuckerberg announced it on X. Google CEO Sundar Pichai replied with a welcome and said he was excited to serve Google Cloud customers. Rival tech giants are working together here to sell AI tools to companies.
Three Meta models are now offered through Model Garden, Google Cloud's catalog of AI models that customers can plug into their own software. They are called Muse Ember, Muse Spark 1.3 and Muse Wonder. All three can work with more than text, such as images. All three can also take in up to one million tokens at a time. A token is a small piece of text, so that is room for very large documents.
Meta says Muse Ember is meant to deliver intelligence comparable to models such as Claude Haiku at about one-third of the cost per task. It is aimed at repetitive jobs, high-volume work and sub-agent workloads, where one AI hands small tasks to helper AIs.
Muse Spark 1.3 and Muse Wonder are described as agentic. That means they can carry out multistep jobs on their own instead of answering one question at a time. Spark is pitched at running complicated workflows and speeding up software development. Wonder can work across browsers on desktops and in mobile apps. It can also update many files in a large code project, automate workflows and handle professional tasks that involve a lot of information.
The main audience is businesses that already build on Google Cloud or pay for AI tools. They now get more options in one place. They can choose among different levels of speed, features and price based on what a task needs. A cheap model for routine work and a stronger one for hard jobs could keep bills lower.
The material gives no actual prices, so the one-third cost claim cannot be checked against a price list. It also does not say how the models perform in independent tests or whether availability differs by region. Customers weighing a switch will want to test the models on their own tasks first.
If your business pays for AI, try the cheaper Muse Ember on routine jobs and compare it with what you use now before assuming the savings are real.
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