Meta releases Muse Ember lightweight model
TechCrunch: Meta releases Muse Ember, a new lightweight model for agent execution
At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors like Haiku and Luna.
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Meta Superintelligence Lab released a lightweight AI model called Muse Ember designed to handle repetitive tasks that agents perform regularly, such as tool calls, coding, routing, document parsing, and extraction. At 10 cents per million input tokens, Ember is positioned as cheaper and more efficient than competing models while maintaining competitive accuracy. The model is designed to work alongside larger models like Meta's Muse Wonder, where the larger model establishes rules and the lighter Ember model applies those rules at scale across high-volume cases. Ember can process multiple types of input including text, images, and audio, making it flexible for different agent applications.
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