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Muse Ember

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Meta launches Muse Ember, a low-cost AI model for repetitive agent tasks

Meta Superintelligence Lab released Muse Ember, its lightest and cheapest model yet, priced at 10 cents per million input tokens. Meta says the model is built for high-volume agent work like tool calls, coding subtasks, routing, and document parsing, and can process text, images, and audio without needing separate models. Ember is the fourth model in Meta's Muse lineup, following Spark, Glimmer, and Wonder.

Muse launches Ember, a low-cost model aimed at agent workloads

Muse has released Ember, described as its smallest and most efficient model, built for tool calls, coding subtasks, routing, extraction and long document parsing. According to benchmarking data cited by the company, Ember matches Claude Haiku 5.5's top score at roughly a third of the cost and outperforms GPT-6 Luna at every reasoning setting tested.