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.
Context: Moonshot's Kimi K3.1 Pro scores high on third-party benchmarks, but its debut drew scrutiny over allegations that influencers were asked to promote it without disclosing a commercial relationship.
From VentureBeat: Kimi K3.1 Pro's debut draws scrutiny over allegations that influencers were asked to promote the model without disclosing a commercial relationship to Moonshot — That's because Kimi K3.1 Pro scores so high on third-party benchmarks — according to both Moonshot and third-party AI model …
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.