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Meta's Superintelligence Lab has launched Muse Ember, a lightweight AI model priced at 10 cents per million input tokens—cheaper than competitors like Anthropic’s Haiku and OpenAI’s Luna. The release positions it as a disruptive force in enterprise automation.

Meta Unveils Lightweight AI Model Muse Ember for Cost-Efficient Agent Tasks

Meta's new Muse Ember model is designed for complex reasoning tasks such as tool calls, coding subtasks, and document parsing. At just $0.10 per million input tokens, it outcompetes Anthropic’s Haiku and OpenAI’s Luna while remaining cost-competitive with open-source alternatives like Deep Seek V4.1 Flash and GLM 5.3 Flash. The model is intended to work alongside larger Muse models such as Wonder for scalable agent workflows.

The release of Ember could reshape AI adoption by offering businesses an affordable solution for repetitive tasks, potentially shifting competitive dynamics in the industry. Direct stakeholders include competitors like Anthropic and OpenAI, whose pricing strategies may face pressure from Meta’s cost advantage. Businesses relying on AI for customer support or data processing might benefit from lower operational expenses.

Meta has also expanded its Muse brand to four models: Spark (April 2026), Glimmer (August 2026), Wonder (October 2026), and Ember (November 2026). The company’s flagship consumer AI product, Muse Agent, launched in September 2026, saw unexpected success. New features like Spaces and video chat were rolled out in November 2026 as part of its ecosystem expansion.

Meta plans to release new features for Muse Agent, including Spaces and video chat, by November 2026. No further explicit future developments are mentioned in the brief.

Muse Ember’s pricing advantage could drive adoption over existing models, but its long-term impact remains uncertain without broader market validation.

Topics: Tech, AI Models, Cost Efficiency, Business Strategy, Competitive Dynamics, Enterprise Software

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Source: TechCrunch