Mark Zuckerberg recently shared a post on X announcing that Meta’s Muse Ember, Muse Spark 1.3, and Muse Wonder are now accessible via Google Cloud’s Model Garden managed APIs. The models are multimodal with 1M token context windows; Ember stands out as Meta’s smallest and cheapest option, delivering intelligence comparable to models like Claude Haiku at roughly one-third the per-task cost for sub-agent and repetitive work. Google CEO Sundar Pichai replied to the Meta CEO welcoming the models, highlighting cross-company collaboration where Google Cloud hosts and serves Meta’s proprietary AI to 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.
What is Muse Wonder
Muse Wonder is claimed to be Meta’s most capable frontier model, purpose-built for complex software engineering, offering an optimal balance of speed, reliability, and deep persistence. Muse Wonder offers native computer use and long-context understanding, enabling the execution of sophisticated, multi-step workflows across browsers, desktop, and mobile applications. Muse Wonder models offer state-of-the-art coding, orchestration, and multimodal reasoning capabilities, and feature sub-agent delegation, parallel tool calling, and agentic memory.Top use cases include real-world software engineering, multi-file repository updates, and end-to-end workflow automation. It can also operate everyday applications, support complex legal and professional knowledge work, and reason over vast codebases.
What is Muse Spark 1.3
Muse Spark 1.3, available on Google Cloud, is a workhorse agentic model designed for long-horizon workflows, offering an optimal balance of intelligence, speed, and scalable performance. Muse Spark 1.3 offers native tool calling and MCP server integration, enabling the creation of sophisticated AI agents that complete multi-step tasks across professional and personal workflows. Muse Spark models offer coding, reasoning, and autonomous execution capabilities, and feature in-series specialization optimized for high-volume production environments on Gemini platform.Top use cases include multi-step workflow automation, tool-using application development, and long-horizon agentic execution. It can also run personal and enterprise assistants, orchestrate complex API and MCP pipelines, accelerate software development, and reason over dynamic, real-world tasks at scale.
What is Muse Ember
Muse Ember on Google Cloud is an efficient, multimodal execution model built for repeated everyday work, offering an optimal balance of capability, throughput, and cost-efficiency. Muse Ember offers comprehensive text, image, audio, and video processing, enabling developers to match task complexity to model capability across enterprise pipelines. Muse Ember models offer coding, tool-calling, and document-analysis capabilities, and feature a lightweight architecture purpose-built to complement Muse Wonder and Muse Spark on Google Cloud.Top use cases include everyday coding subtasks, automated tool execution, and large-scale document understanding. It can also power high-volume task routing, serve as the execution layer for complex multi-agent orchestration, analyze multimodal media, and keep long-running workflows moving at scale.