Meta releases Muse Ember, a new lightweight model for agent execution
Meta has released Muse Ember, a lightweight and cost-efficient AI model designed for complex reasoning and high-volume agentic tasks. The model is intended to work alongside larger models to handle repetitive subtasks like coding and data extraction.
Why it matters
The release highlights the industry shift toward specialized, cost-effective AI models for enterprise automation.
Meta Superintelligence Lab released a new AI model on Monday called Muse Ember, the lab’s lightest and most cost-efficient AI model yet. In its release, Meta said Ember was “designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing.”
Meta particularly emphasized Ember’s cost-per-task, using Artificial Analysis’s composite benchmark score to show Ember as cheaper and smarter than competitors like Anthropic’s Haiku and OpenAI’s Luna.
At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors like Haiku and Luna. Not only that, it’s cost-competitive with open-source competitors like DeepSeek V4.1 Flash and GLM 5.3 Flash.
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