Meta Unveils Muse Ember, an Affordable Lightweight AI Model for Agent Tasks

Image: Image Credits:Meta Superintelligence Labs · Source

Meta launches Muse Ember, a low-cost, versatile AI model optimized for high-volume agent activities like tool calls and document parsing, outperforming competitors on cost and efficiency benchmarks.

Meta's Superintelligence Lab introduced Muse Ember, the latest addition to its Muse AI model lineup, designed to be the lightest and most cost-effective model yet. Officially released in early November 2026, Ember targets complex reasoning tasks that agents routinely perform, such as tool invocation, coding subtasks, task routing, information extraction, and parsing lengthy documents.

Ember distinguishes itself through a notably low operational cost—priced at just 10 cents per million input tokens—which positions it well below leading competitors including Anthropic's Haiku and OpenAI's Luna. Furthermore, Ember’s cost efficiency is on par with prominent open-source models like DeepSeek V4.1 Flash and GLM 5.3 Flash, highlighting its competitive edge in both performance and affordability.

Designed with scalability and volume-intensive applications in mind, Ember is intended to work in tandem with larger, more powerful models such as Meta’s Muse Wonder. For instance, a customer support system might deploy Muse Wonder to establish protocols for handling various issues, while Ember executes these rules across thousands of cases, effectively balancing planning with efficient task execution. Meta encapsulates this collaboration in the slogan: "Muse Wonder plans, Muse Ember handles the volume."

Another standout feature of Muse Ember is its multimodal capabilities. It can process a diverse range of input types—including text, images, audio, screenshots, charts, scanned documents, voice memos, meeting recordings, and even video—without needing separate models for each media type. This versatility makes Ember especially suitable for agent scenarios involving varied data formats.

Muse Ember is the fourth AI model in the Muse series. It follows the mid-tier Spark model (launched in April 2026), its open-source counterpart Glimmer (August 2026), and the premier Muse Wonder model (October 2026). Meta’s broader Muse ecosystem also includes the Muse Agent, a consumer-focused AI assistant released in September 2026, which recently expanded features to incorporate Spaces and video chat functionalities.

With Muse Ember, Meta advances its strategy of delivering scalable, cost-efficient AI solutions for practical agent execution tasks, enabling broader adoption across industries that rely on high-throughput processing of complex, multimodal information.