Meta AI launches Muse Ember, its smallest efficient model
Original title: Introducing Our Smallest, Most Efficient Model: Muse Ember
Short prompts match GPT-6 Luna and Claude Haiku 5.5 at $0.10 and $0.50 per million tokens.
Meta AI launched Muse Ember, described as its smallest and most efficient model for complex reasoning and repeated agent work, including tool calls, coding subtasks, routing, extraction, and long document parsing. For shorter prompts it is priced the same as GPT-6 Luna and Claude Haiku 5.5. The available text says longer-prompt pricing is less straightforward and is cut off. Claude Fable 5.2, also released that day, is priced at $8 and $40 per million tokens.
Unconfirmed: Longer-prompt pricing is incomplete because the source snippet is cut off.
- Muse Ember targets tool calls, coding subtasks, routing, extraction, and long document parsing.
- Short-prompt pricing is $0.10 per million input tokens and $0.50 per million output.
- Claude Fable 5.2 is described as 80 times that price, at $8 and $40.
- Organizations
- Meta AI
From the original article
Introducing Our Smallest, Most Efficient Model: Muse Ember Meta AI just launched their entry in the Claude Haiku/GPT Luna category: Muse Ember, which they describe as: [...] our smallest and most efficient model designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing.
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