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Meta launches Muse Ember, its smallest model, matching Claude Haiku 5.5's score at a third of the cost
First seen on X 2 days ago@finkd ♥ 5,21330 views
Meta has released Muse Ember, its smallest and most efficient model. Meta's research blog says it matches Claude Haiku 5.5's best score on the Artificial Analysis Intelligence Index at about one-third of the cost. It is priced at $0.10 per million input tokens and $0.50 per million output tokens.
In a Nov 9 blog post and on its official X account, Meta said the model targets work agents repeat all day: tool calls, coding subtasks, routing, extraction and long-document parsing. It has a 1M-token context window, understands text, images, audio and video, and is available on the Meta Model API and in Muse Code. Meta also claimed it beats every reasoning setting of OpenAI's GPT-6 Luna.
Mark Zuckerberg's announcement drew 5,200 likes, and Alexandr Wang wrote that it delivers more intelligence per dollar than Haiku, Luna and all other flash models. The scores and costs come from third-party evaluation data cited by Meta; no independent verification has appeared yet.
“Releasing Muse Ember today -- our smallest model that delivers higher intelligence per dollar than others in its class.”
