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RELEASE · MODELS · #3300

Meta releases Muse Ember, a lightweight multimodal model for agent execution

Meta’s Superintelligence Lab released Muse Ember, a lightweight, cost-focused AI model designed for agent-style execution tasks (tool calls, coding subtasks, routing, extraction, long-document parsing) and multimodal inputs. Meta cites a cost of $0.10 per million input tokens and positions Ember to handle high-volume work alongside larger models like Muse Wonder.

KEY POINTS

  1. Meta’s Superintelligence Lab released Muse Ember, a lightweight, cost-focused AI model designed for agent-style execution tasks (tool calls, coding subtasks, routing, extraction, long-document parsing) and multimodal inputs.
  2. Meta cites a cost of $0.10 per million input tokens and positions Ember to handle high-volume work alongside larger models like Muse Wonder.
  3. A lower per-task, multimodal model tailored for agent execution could materially reduce costs and enable larger-scale, volume-driven agent workflows by delegating execution to Ember while heavier planning runs on larger models.

WHY IT MATTERS

A lower per-task, multimodal model tailored for agent execution could materially reduce costs and enable larger-scale, volume-driven agent workflows by delegating execution to Ember while heavier planning runs on larger models.

SOURCES & TIMELINE

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