Meta Launches Muse Ember, a Low-Cost AI Model for Agents

Built to work alongside a bigger model

Ember is meant to be paired with a larger model, such as Muse Wonder, inside an agentic harness. In a customer-support setup, a heavier model might define the rules for handling a given issue, then hand off to a lighter one that applies them across tens of thousands of cases. Meta's summary: "Muse Wonder plans, Muse Ember handles the volume."

With that volume in mind, Meta trained Ember to handle text, images and audio. The company says agents can read screenshots, charts and scanned documents, or work from voice memos, meeting recordings and video, without needing a separate model.

Fourth in the Muse family

Ember is the fourth model under the Muse brand. It follows the mid-weight Spark in April, Spark's open source twin Glimmer in August, and the Wonder frontier model in October. Meta's flagship consumer product, the Muse Agent, launched in September to unexpected success, and new features such as Spaces and video chat began rolling out earlier this month.

For developers building agents, the pitch is a cheap workhorse for repetitive tasks that can sit under a more capable planner, cutting the bill when jobs run at scale.