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, designed for routine agent tasks such as tool calling, small coding jobs, request routing, data extraction, and long-document processing. The model handles text, images, audio, and video, processes up to one million tokens at once, and 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. Meta says it delivers more intelligence per dollar than Claude Haiku 5.5 or GPT-6 Luna, scoring 36 on the Artificial Analysis Intelligence Index at about $0.14 per task versus Muse Spark 1.3's 37 at $2.39, though Haiku outperforms it on real coding in FrontierCode 2.0-AA, 34.9 percent to 27.2 percent.
Why it mattersThe report includes concrete pricing, benchmark scores, and coding shortcomings, letting readers assess the small model's cost-performance positioning for everyday agent tasks.
The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.
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Nov 9, 2026
Meta has introduced Muse Ember, its smallest and most efficient AI model to date. It's designed for the routine tasks AI agents handle all day: 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. It 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. 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.
Meta’s Muse Ember achieves a score of 36 on the Artificial Analysis Intelligence Index at a particularly low cost per task. | Image: Meta via Artificial Analysis
The model handles text, images, audio, and video and can process up to one million tokens at once. It's available now through the Meta Model API and Muse Code at $0.10 per million input tokens and $0.50 per million output tokens.
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