Meta 发布 Muse Ember：专为 AI 代理重复性工作设计的超小型高效模型

Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do

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Meta 发布 Muse Ember，其迄今为止最小且最高效的 AI 模型，专为处理 AI 代理日常的重复性任务设计，如调用工具、处理小规模编码任务、路由请求、提取数据和处理长文档。

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TechCrunch · AI·02:00·首发
Meta 发布轻量模型 Muse Ember，主打智能体执行与低成本
The Decoder·03:41·+1 小时 42 分·当前阅读
Meta 发布 Muse Ember：专为 AI 代理重复性工作设计的超小型高效模型

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正文

Nov 9, 2026

Meta has introduced Muse Ember, its smallest and most efficient AI model to date. It's designed for the routine tasks AI agents handle all day: calling tools, handling small coding tasks, routing requests, extracting data, and processing long documents. Meta says Muse Ember delivers more intelligence per dollar at every reasoning level than Claude Haiku 5.5 or GPT-6 Luna. It costs about $0.14 per task in the Artificial Analysis test, while the larger Muse Spark 1.3 costs $2.39 for a nearly identical score of 36 versus 37. Muse Ember leads in most of Meta's own tests, but Haiku outperforms it on real coding tasks in FrontierCode 2.0-AA, scoring 34.9 percent to Muse Ember's 27.2 percent.

Meta’s Muse Ember achieves a score of 36 on the Artificial Analysis Intelligence Index at a particularly low cost per task. | Image: Meta via Artificial Analysis

The model handles text, images, audio, and video and can process up to one million tokens at once. It's available now through the Meta Model API and Muse Code at $0.10 per million input tokens and $0.50 per million output tokens.

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来源: The Decoder · the-decoder.com