Meta Unveils Muse Ember, a Small and Efficient AI Model for Routine Agent Tasks
Source The Decoder
At a glance
Meta has released Muse Ember, its smallest and most efficient AI model. It is built to handle the simple, everyday tasks that AI agents (AI programs that automatically carry out multiple jobs on behalf of people) perform repeatedly. It can process up to 1 million input tokens (small units of text) at once.
Key points
It is tuned for repetitive work such as tool calling, simple coding, request classification, data extraction, and processing long documents.
Meta says its cost-performance is better than Claude Haiku 5.5 and GPT-6 Luna.
In an actual coding test, Haiku scored higher than Muse Ember.
It can handle text, images, audio, and video.
Why it matters
As AI is used more and more, the cost of each task matters more, and this model points toward lowering that cost.
Original article
Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do
The Decoder · Nov 10, 2026, 4:41 AM GMT+9 · the-decoder.com
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