Meta Releases Lightweight Model Muse Ember, Matching Claude Haiku 5.5 in Performance at About One-Third the Cost
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Meta released the lightweight model Muse Ember on November 9 local time. Data from third-party evaluation agency Artificial Analysis shows that its composite intelligence index is 36 points, on par with the highest reasoning tier of Claude Haiku 5.5, with a per-task cost of about $0.14, versus about $0.41 for the latter. The model targets high-frequency agent tasks and supports text, image, audio, video, and PDF input, with a context window of about 1 million tokens. It is now available through Muse Code and the Meta Model API under the model ID muse-ember-1.0. Pricing is $0.10 per million input tokens, $0.004 for cached input, and $0.50 for output; its score on the FrontierCode 2.0 test is lower than that of Claude Haiku 5.5.
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The original text provides third-party benchmark scores and a per-task cost comparison, which can be used to assess the cost-effectiveness of lightweight models in high-frequency agent tasks.
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凤凰网科技讯 11月10日，Meta于当地时间11月9日发布轻量级AI模型Muse Ember。根据第三方评测机构Artificial Analysis的数据，该模型在综合智能指数中取得36分，与Anthropic的Claude Haiku 5.5最高推理档位持平，但单次评测任务成本约为后者的三分之一。
Meta将Muse Ember定位为旗下规模最小、运行效率最高的模型，主要面向AI智能体需要反复处理的高频任务，包括调用工具、执行编程子任务、请求路由、提取信息以及解析长文档。该模型能够接收文本、图片、音频、视频及PDF等多种输入形式，并以文本形式输出结果。
Muse Ember拥有约100万Token的上下文窗口，最高可输出约51.2万Token，可在一次请求中处理较大规模的代码库或文档集合。该模型现已通过Muse Code及Meta Model API上线，模型编号为“muse-ember-1.0”。
价格方面，Muse Ember每百万输入Token收费0.10美元，缓存输入收费0.004美元，每百万输出Token收费0.50美元。Artificial Analysis的测试显示，其最高推理档位单次任务成本约为0.14美元，Claude Haiku 5.5完成同类任务的成本约为0.41美元。
不过，不同评测项目的结果存在差异。Meta公布的测试显示，Muse Ember在部分智能体、工具调用和多模态任务中领先Claude Haiku 5.5及OpenAI的GPT-6 Luna；在考察代码修改能否被项目维护者采用的FrontierCode 2.0测试中，Muse Ember得分则低于Claude Haiku 5.5。