Meta Introduces Muse Ember, Its Smallest and Most Efficient AI Model
According to Meta AI Research: Meta has launched Muse Ember, a lightweight AI model built specifically for repetitive agent tasks like tool calls, coding, and document analysis. It delivers high intelligence at a fraction of the cost, rivaling top models while priced at just $0.10 per million input tokens.
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According to Meta AI Research:
Meta has officially expanded its model lineup with the introduction of Muse Ember, designed to handle the high-volume, repetitive tasks that AI agents execute throughout the day. According to evaluations and benchmarks, Muse Ember achieves high scores on complex reasoning and coding tasks while maintaining an exceptional efficiency frontier, often outperforming competitors like Claude Haiku 5.5 and GPT-6 Luna in cost-to-performance ratios.
The model boasts a 1-million-token context window and supports up to 512K output tokens, allowing it to ingest entire codebases or long documents in a single go. Built natively to understand text, images, audio, and video, Muse Ember is already being adopted by enterprise partners like Box, Cloudflare, and You.com for high-throughput workflows. It is available now via the Meta Model API and major cloud platforms.
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