Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do

Meta has introduced Muse Ember, its smallest and most efficient AI model to date, aimed at routine work that AI agents perform all day. The model is designed for tasks such as calling tools, handling small coding jobs, routing requests, extracting data, and processing long documents. Meta says it delivers more intelligence per dollar at every reasoning level than Claude Haiku 5.5 or GPT-6 Luna.

Performance and cost

Muse Ember costs about $0.14 per task in the Artificial Analysis test, while the larger Muse Spark 1.3 costs $2.39 for a nearly identical score of 36 versus 37. Meta's Muse Ember achieves a score of 36 on the Artificial Analysis Intelligence Index at a particularly low cost per task. Muse Ember leads in most of Meta's own tests, but Haiku outperforms it on real coding tasks in FrontierCode 2.0-AA, scoring 34.9 percent to Muse Ember's 27.2 percent.

Capabilities and availability

The model handles text, images, audio, and video and 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.

Sources: The Decoder · TechCrunch