Meta releases Muse Ember, a new lightweight model for agent execution
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
Meta's new Muse Ember model costs 10 cents per million input tokens, making it significantly cheaper than competitors like Haiku and Luna, and enables cost-effective scaling of agentic workflows by handling high-volume tasks such as tool calls, coding subtasks, and document parsing, when paired with a larger model like Muse Wonder.
Meta’s Muse Ember is priced at 10 cents per million input tokens and is positioned as a cheap execution model for high-volume agent work like tool calls, routing, extraction, coding subtasks, and long-document parsing. The practical shift is that agent stacks can push repetitive multimodal execution—text, images, audio, screenshots, scans, recordings—to a low-cost model while reserving frontier models for planning, cutting per-task costs without splitting workflows across separate modality-specific models.