Meta AI says it is introducing Muse Ember, its smallest and most efficient model
Briefing by News4U · First published
Today Meta AI said on X that it is introducing Muse Ember, its smallest and most efficient model, built for complex reasoning execution and everyday agent work. Meta AI said the model can carry workflows across apps, call tools in sequence, run tests and make targeted code fixes, and has a 1M-token context window with native understanding of text, images, audio and video. It said Muse Ember matches Claude Haiku 5.5 on the Artificial Analysis Intelligence Index at roughly one-third the cost per task and scores higher than GPT-6 Luna across all of Luna's reasoning settings. Muse Ember is available today on the Meta Model API at $0.10 per million input tokens and $0.50 per million output tokens. [1] [2] [3]
Sources
- @aiatmeta (X): Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work.
@aiatmeta (X) · · Excerpt
- @aiatmeta (X): On the @ArtificialAnlys Intelligence Index, it achieves performance comparable to Claude Haiku 5.5 at roughly one-third of the cost per task
@aiatmeta (X) · · Excerpt
- @aiatmeta (X): Muse Ember is available today on the Meta Model API, at $0.10 per million input tokens and $0.50 per million output tokens.
@aiatmeta (X) · · Excerpt