Meta releases Muse Ember for high-volume agent tasks
Meta has released Ember, which it describes as the smallest and most efficient model in the Muse family, for high-volume agent work such as coding subtasks, tool calls and document summarization.
AT A GLANCE
Key points
- Meta positions Ember as the smallest and most efficient Muse model
- It targets coding subtasks, tool calls and document processing
- TechCrunch reports input pricing of $0.10 per million tokens
What is changing?
Meta has released a new model called Muse Ember through its developer channel. The company describes it as the smallest and most efficient member of the Muse family, aimed at agent workflows that execute large numbers of short tasks.
According to Meta’s official product listing, Ember can handle multimodal inputs and perform coding subtasks, tool calls, document summarization and information extraction. The positioning favors a specialized small execution model instead of using a large model at every step.
TechCrunch reports an introductory price of $0.10 per million input tokens. That price and the model’s small footprint may be attractive for high-volume automation, though independent performance tests, output costs and detailed usage limits will matter in practice.
Explore the original sources
Source date: 9 November 2026.
Published by AI Radar: 9 Nov 2026, 21:09 (Istanbul, UTC+3).
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