Meta launches Muse Ember: $0.116 per task, sits on the efficiency frontier
kimmonismus · x · 2026-11-10
Meta officially introduced Muse Ember, its smallest and most efficient model, built for the reasoning work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long-document parsing.
Key claims from the announcement:
- More intelligence per dollar than Claude Haiku 5.5 or GPT-6 Luna at any reasoning setting; matches Haiku's best score at 1/3 the cost and beats every Luna setting
- Sits on the efficiency frontier of the Artificial Analysis leaderboard: max setting costs $0.136/task at a score of 35.8, vs Haiku 5.5 max at $0.411/36.2 and Luna max at $0.152/27.8
- Benchmark highlights: AutomationBench-AA 37.8 (vs Haiku 13.9, Luna 20.2), Agents' Last Exam 61.6, Terminal-Bench 4.0 40.9, Coding Agent Index-AA 46
Related event: Meta Launches Muse Ember, Its Smallest Model Built for Agentic Value(17 posts)→
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