Meta releases Muse Ember, a new lightweight model for agent execution

Meta Superintelligence Lab released Muse Ember, described as its lightest and most cost-efficient AI model yet, designed for complex reasoning execution and repetitive agent work such as tool calls, coding subtasks, routing, extraction, and long document parsing. At 10 cents per million input tokens, Meta says Ember is cheaper and smarter than competitors like Anthropic's Haiku and OpenAI's Luna on Artificial Analysis's composite benchmark, and it is meant to pair with a larger model like Muse Wonder in an agentic harness. Ember is Meta's fourth Muse-brand model, following Spark in April, Glimmer in August, and Wonder in October, and it was trained to handle text, images, and audio.