Meta's larger frontier model that handles planning and complex reasoning alongside the lightweight Ember in agentic setups.
Meta has released Muse Ember, an efficiency-tier model that scores 36 on the Artificial Analysis Intelligence Index, matching Claude Haiku 5.5 (max) while costing about one-third as much at $0.14 per task. It scores 68.1% on AutomationBench-AA, level with Meta's flagship Muse Wonder, though it trails the flagship by 8 index points at roughly 1/50th the cost per task.
Meta has launched Muse Ember, a new efficiency-tier model line that scores 36 on the Artificial Analysis Intelligence Index, matching Claude Haiku 5.5 at roughly one-third the cost per task ($0.14 vs $0.41). It reaches 68.1% on AutomationBench-AA, level with Meta's flagship Muse Wonder, though results are mixed on agentic coding and other benchmarks.
Meta Superintelligence Lab released Muse Ember, its lightest and most cost-efficient model yet, built for the repetitive work agents do all day: tool calls, coding subtasks, routing, extraction, and long document parsing. At 10 cents per million input tokens, Meta positions Ember as cheaper and smarter than Anthropic's Haiku and OpenAI's Luna on Artificial Analysis's composite benchmark, while staying price-competitive with open-source rivals DeepSeek V4.1 Flash and GLM 5.3 Flash. Ember is designed to pair with a larger model such as Muse Wonder inside an agentic harness.