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

Meta Superintelligence Lab released Muse Ember on Monday, its lightest and most cost-efficient AI model to date. Ember is designed for complex reasoning execution and repetitive agent tasks such as tool calls, coding subtasks, routing, extraction, and long document parsing. Meta emphasized Ember's cost-per-task, using Artificial Analysis's composite benchmark to show it as cheaper and smarter than competitors like Anthropic's Haiku and OpenAI's Luna. At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors and cost-competitive with open-source models like DeepSeek V4.1 Flash and GLM 5.3 Flash. Designed to pair with a larger model like Meta's Muse Wonder in an agentic harness, Ember handles high-volume applications; for example, a heavier model sets rules while Ember applies them across thousands of cases. Ember was trained to work across text, images, and audio, allowing agents to process screenshots, charts, scanned documents, voice memos, meeting recordings, and video without a separate model. Ember is the fourth model under Meta's Muse brand, following Spark (April), Glimmer (August), and Wonder (October); the flagship consumer product, Muse Agent, launched in September with new features like Spaces and video chat rolling out recently.

(Source：TechCrunch)