Meta 推出 Muse Ember，面向智能体任务的轻量级 AI 模型Chinese only
Muse Ember 即日起在 Meta Model API、Google Cloud 和 Oracle Cloud 提供，支持文本、图像、音频和视频输入，上下文窗口为 100 万 Token。输入与输出价格分别为每百万 Token 0.10 美元和 0.50 美元；Meta 称其在 Artificial Analysis 排行榜上的表现可媲美 Claude Haiku 5.5，单任务成本为后者的三分之一。
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Verified facts 2
Meta releases Muse Ember, a new lightweight model for agent execution
Meta旗下Superintelligence Lab发布轻量级AI模型Muse Ember，称其面向智能体执行中的工具调用、编程子任务、路由、提取和长文档解析等工作。
Meta 推出轻量级 AI 模型 Muse Ember：跑分媲美 Claude Haiku 5.5，单任务成本仅 1/3
Meta表示，Muse Ember在Artificial Analysis排行榜上的表现可媲美Claude Haiku 5.5，单任务成本仅为其三分之一，并在多项测试中超越GPT-6 Luna。
Event developments 1
Meta releases small Muse Ember model on its API and Muse Code
Muse Ember targets repeated agent tasks such as tool calls, coding subtasks, routing and extraction. Meta says it matches Claude Haiku 5.5’s intelligence at about a third of the cost, although the material says their rates are identical for prompts under 100K tokens and attributes Ember’s cost advantage mainly to using fewer tokens per task.
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- Rohan Paul (@rohanpaul_ai) · Meta releases small Muse Ember model on its API and Muse Code
- IT之家 科技新闻 · Meta launches Muse Ember, a lightweight AI model for agent tasks
All reports 2
Meta launches Muse Ember, a lightweight AI model for agent tasks
Muse Ember is available now through Meta Model API, Google Cloud and Oracle Cloud. It handles text, images, audio and video, with a 1 million token context window. Input costs $0.10 and output $0.50 per million tokens. Meta says its performance on the Artificial Analysis leaderboard is comparable to Claude Haiku 5.5 at one-third the cost per task.
1 more source reported this
- Rohan Paul (@rohanpaul_ai)
Meta releases small Muse Ember model on its API and Muse Code
Muse Ember targets repeated agent tasks such as tool calls, coding subtasks, routing and extraction. Meta says it matches Claude Haiku 5.5’s intelligence at about a third of the cost, although the material says their rates are identical for prompts under 100K tokens and attributes Ember’s cost advantage mainly to using fewer tokens per task.
1 more source reported this
- IT之家 科技新闻