Introducing Our Smallest, Most Efficient Model: Muse Ember

Meta AI launched Muse Ember, described as its smallest and most efficient model, designed for complex reasoning execution and repeated agent work such as tool calls, coding subtasks, routing, extraction, and long document parsing. For shorter prompts it is priced the same as GPT-6 Luna and Claude Haiku 5.5 at $0.10/million input and $0.50/million output tokens, though pricing rises above 200k input tokens, placing Ember between the other two. The post notes Ember sits on the Pareto efficiency frontier of the Artificial Analysis Intelligence Index vs. Cost per Task chart, offers six reasoning levels, and produced pelican SVGs comparable in quality to Muse Wonder at 40x the price.