Meta Releases Muse Ember, a Lightweight Model for Agent Execution

What happened

Meta Superintelligence Lab released Muse Ember, which it describes as its lightest and most cost-efficient AI model yet, for agent tasks such as tool calls, coding subtasks, routing, extraction, and long document parsing. Meta says Ember costs 10 cents per million input tokens and is designed to pair with a larger model such as Muse Wonder. The company also says it handles text, images, and audio.

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Reported by 3 sources

The story so far

Meta released Muse Ember for routine agent tasks, and Alexandr Wang said Crouton Alpha was an early version of the model. Wang said Meta fixed issues before launch and processed more than 5 trillion tokens in testing. Ember handles tasks such as tool calls, small coding jobs, routing, extraction, and long document processing. It supports text, images, audio, and video, with a context window of up to 1 million tokens. Developers can use it through Meta Model API and Muse Code for $0.10 per million input tokens and $0.50 per million output tokens. Artificial Analysis gave Ember (max) a score of 36 on its Intelligence Index at an average cost of $0.14 per task, compared with $0.41 for Claude Haiku 5.5 (max). Its coding results varied: it beat Haiku 5.5 on Terminal-Bench 4.0 but scored lower on FrontierCode 2.0.