GoKawiilMeta launches Muse Ember, a low-cost AI model for repetitive agent tasks
Meta Superintelligence Lab released Muse Ember, its lightest and cheapest model yet, priced at 10 cents per million input tokens. Meta says the model is built for high-volume agent work like tool calls, coding subtasks, routing, and document parsing, and can process text, images, and audio without needing separate models. Ember is the fourth model in Meta's Muse lineup, following Spark, Glimmer, and Wonder.
GoKawiil's interpretation of the reporting above, not reported fact.
By pairing a cheap, fast model like Ember with a more capable planner such as Muse Wonder, Meta appears to be positioning its agent stack for tasks that require scale rather than depth, which could lower the cost of running AI agents commercially. The multimodal design suggests Meta wants developers to avoid stitching together multiple specialized models for different input types. Competitive pricing against both frontier labs and open-source rivals indicates Meta is trying to compete on cost efficiency as much as raw capability.
- Muse Ember costs 10 cents per million input tokens, undercutting Anthropic's Haiku and OpenAI's Luna.
- The model handles text, images, and audio inputs, letting agents skip separate specialized models.
- Ember is meant to pair with larger models like Muse Wonder, handling high-volume execution while Wonder plans.
Source: techcrunch.com — Russell Brandom, 2026-11-09
Published there as: “Meta releases Muse Ember, a new lightweight model for agent execution”
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