Meta Superintelligence Labs released Muse Ember on 9 November 2026, describing it as the company’s lightest and most cost-efficient model. It is designed for the repetitive tasks agents perform all day, including tool calls, coding subtasks, routing, extraction, and long-document parsing. Priced at 10 cents per million input tokens and 50 cents per million output tokens, Ember is multimodal and accepts text, images, audio, and video. It features a one-million-token context window. Meta positions the model to work alongside larger systems such as Muse Wonder, with the heavier model handling planning and Ember executing high-volume work. On the Artificial Analysis Intelligence Index, it matches Claude Haiku 5.5 at roughly one-third the cost per task and outperforms GPT-6 Luna. Ember is available via the Meta Model API and Muse Code.
Meta Superintelligence Labs released Muse Ember on 9 November 2026, describing it as the company’s lightest and most cost-efficient model. It is designed for the repetitive tasks agents perform all day, including tool calls, coding subtasks, routing, extraction, and long-document parsing. Priced at 10 cents per million input tokens and 50 cents per million output tokens, Ember is multimodal and accepts text, images, audio, and video. It features a one-million-token context window. Meta positions the model to work alongside larger systems such as Muse Wonder, with the heavier model handling planning and Ember executing high-volume work. On the Artificial Analysis Intelligence Index, it matches Claude Haiku 5.5 at roughly one-third the cost per task and outperforms GPT-6 Luna. Ember is available via the Meta Model API and Muse Code.