Modelsslug: muse-wonder

Muse Wonder

Meta's larger frontier model that handles planning and complex reasoning alongside the lightweight Ember in agentic setups.

Curated Intelligence

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Marktechpost (@Marktechpost)T2·Models
78 pts
Meta Releases Muse Ember Smallest Model at One Third the Cost of Claude Haiku 5.5

Meta released Muse Ember, its smallest model, matching Claude Haiku 5.5 at 36 on the Artificial Analysis Intelligence Index at roughly $0.136 per task versus $0.411 for Haiku. Positioned as the execution layer in a two-model agent split alongside the planning-focused Muse Wonder, it natively handles text, images, audio and video with a 1M-token context and up to 512K output tokens. The trade-off is weaker real-repo mergeability on FrontierCode 2.0-AA, and several results are Meta internal runs.

Artificial AnalysisT1·Models
72 pts
Meta Launches Muse Ember Matching Claude Haiku at One-Third the Cost

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.

OpenRouter (@OpenRouter)T1·Models
38 pts
Meta's Muse Ember Model Goes Live on OpenRouter

Meta's Muse Ember is now available on OpenRouter, positioned as a sub-task execution model for coding agents. The suggested pattern uses a frontier planner such as Muse Wonder to decompose work, then fans bounded sub-tasks out to Muse Ember for parallel execution. No parameter counts, benchmarks, or pricing details were disclosed.

Artificial Analysis (@ArtificialAnlys)T1·Models
72 pts
Meta Launches Muse Ember Efficient Model at $0.14 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.

TechCrunch AIT2·Models
78 pts
Meta Releases Muse Ember Lightweight Model at 10 Cents per Million Tokens

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.