Meta releases lightweight Muse Ember model for agent execution
meta released muse ember, a new lightweight ai model for agent execution, designed for complex reasoning and cost-efficient at 10 cents per million input tokens.
meta's superintelligence lab released muse ember, their lightest and most cost-efficient ai model yet, designed for complex reasoning execution and repetitive tasks in agents. ember costs 10 cents per million input tokens, making it cheaper than frontier competitors like haiku and luna, and competitive with open-source models like deepseek v4.1 flash and glm 5.3 flash. it is trained to work with various media types, including text, images, and audio, and is meant to handle high-volume use cases when paired with a larger model like muse wonder.