Meta launches Muse Ember, a small model for agent routine tasks
Original title: Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do
Meta prices it at $0.10 per million input tokens and says it scores 36 on Artificial Analysis for about $0.14 a task.
Meta introduced Muse Ember, described as its smallest and most efficient model, for routine agent work such as tool calls, small coding tasks, routing, data extraction and long documents. It accepts text, images, audio and video and up to one million tokens, and is available through the Meta Model API and Muse Code at $0.10 per million input tokens and $0.50 per million output tokens. Meta says it beats Claude Haiku 5.5 and GPT-6 Luna on intelligence per dollar, while Haiku scores higher on FrontierCode 2.0-AA coding.
Unconfirmed: Cost and most benchmark leads are Meta’s claims via Artificial Analysis, not independent confirmation.
- Meta says Ember costs about $0.14 per task versus $2.39 for Muse Spark 1.3.
- Spark 1.3 scored 37 against Ember’s 36 on the same index.
- On FrontierCode 2.0-AA, Haiku scored 34.9 percent and Ember 27.2 percent.
- Output is priced at $0.50 per million tokens.
- Vendors
- Meta
- Products
- Meta Model APIMuse Code
- Organizations
- Artificial Analysis
From the original article
1 min read at the-decoder.com
Meta is introducing Muse Ember, its smallest and most efficient AI model, optimized for repetitive agent tasks such as tool calls, routing, and data extraction. According to Meta, it delivers more intelligence per dollar than Claude Haiku 5. 5 or GPT-6 Luna.
By Matthias Bastian · the-decoder.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.