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

Summary

• Meta Superintelligence Lab released Muse Ember, its lightest and most cost-efficient AI model, on Monday.
• Ember is designed for complex reasoning execution and repetitive tasks including tool calls, coding subtasks, routing, extraction, and long document parsing.
• Artificial Analysis composite benchmark scores indicate Ember is cheaper and smarter than competitors Anthropic's Haiku and OpenAI's Luna.
• Ember costs 10 cents per million input tokens, making it significantly cheaper than frontier competitors and cost-competitive with open-source models DeepSeek V4.1 Flash and GLM 5.3 Flash.
• Ember is designed to pair with larger models like Muse Wonder in an agentic harness, where the larger model plans and Ember handles high-volume execution.
• Ember was trained to process text, images, audio, screenshots, charts, scanned documents, voice memos, meeting recordings, and video without requiring a separate model.
• Ember is the fourth model under the Muse brand, following Spark, Glimmer, and Wonder.
• The flagship consumer product Muse Agent launched in September with new features like Spaces and video chat rolling out earlier this month.