Meta Superintelligence Labs released Muse Ember on Monday, November 9, the lab's lightest and most cost-efficient model yet and the fourth model under the Muse brand, after Spark in April, its open-source twin Glimmer in August, and the Wonder frontier model in October. Meta says Ember is designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction and long document parsing. RuntimeWire, citing Mark Zuckerberg's announcement post on X, says Ember is available on the Meta Model API and in Muse Code.

Price is the headline: $0.10 per million input tokens and $0.50 per million output tokens. Meta pitched Ember on cost per task, using Artificial Analysis's composite benchmark score to present it as cheaper and smarter than Anthropic's Haiku and OpenAI's Luna, and cost-competitive with open-source rivals DeepSeek V4.1 Flash and GLM 5.3 Flash. The intended pairing is a split of labour — in Meta's words, 'Muse Wonder plans, Muse Ember handles the volume.'

Ember is also multimodal: Meta says agents can read screenshots, charts and scanned documents, or work from voice memos, meeting recordings and video, without a separate model. No independent benchmark report for Ember had appeared at launch; the cost-per-task comparisons are Meta's own, built on the Artificial Analysis composite.