Launch
Muse Ember: Our smallest, most efficient model (opens research.meta.ai)
Meta's entry-level model, described by SiliconANGLE as costing significantly less than the competition and the first trained using Muse Wonder.
From r/LocalLLaMA: Stronger than Qwen3.8-27B across a range of benchmarks. but also lays the necessary foundation to power our upcoming small model distillation pipeline (e.g., for Nanbeige4.3-3B). It'll distilled into their 3B small models, maybe other sizes too.
Meta's entry-level model, described by SiliconANGLE as costing significantly less than the competition and the first trained using Muse Wonder.
DeepSeek says Harness reached 1.54 million daily users within three months of launch and processes about 92 trillion tokens a day, roughly 60 million per user.
Artificial Analysis says it matches Gemini 3.8 Flash (high) on its index and would be the top open model outside China once weights ship.