Meta has introduced Muse Ember, its smallest and most efficient AI model to date. Meta designed it for routine tasks that AI agents handle repeatedly, including calling tools, handling small coding tasks, routing requests, extracting data, and processing long documents.
Meta says Muse Ember delivers more intelligence per dollar at every reasoning level than Claude Haiku 5.5 or GPT-6 Luna. In the Artificial Analysis test, Muse Ember costs about $0.14 per task. The larger Muse Spark 1.3 costs $2.39 for a nearly identical score of 36 versus 37.
Muse Ember leads in most of Meta's own tests. On real coding tasks in FrontierCode 2.0-AA, however, Haiku performs better, scoring 34.9 percent to Muse Ember's 27.2 percent.
The model accepts text, images, audio, and video, and it can process up to one million tokens at once. It is available now through the Meta Model API and Muse Code at $0.10 per million input tokens and $0.50 per million output tokens.
Source: The Decoder