Meta 发布最小模型 Muse Ember，称以约三分之一成本匹配 Claude Haiku 5.5 智能水平
Meta released Muse Ember, its smallest model, which it says matches Claude Haiku 5.5’s intelligence for about a third of the cost.
Meta 发布其最小模型 Muse Ember，称在约三分之一成本下达到 Claude Haiku 5.5 的智能水平，面向智能体反复执行的工具调用、编码子任务、路由和抽取等场景。定价为 200K tokens 以内每百万 tokens 输入 $0.10、输出 $0.50，超过 200K tokens 为输入 $0.30、输出 $1.50。由于 Haiku 在 100K tokens 以内收费相同，Ember 的成本优势主要来自每个任务消耗更少 token。该模型已在 Meta Model API 和 Muse Code 中提供。
查看原帖今日发布 Muse Ember——这是我们最小的模型，其每美元智能水平超过同类其他模型。它专为智能体全天反复执行的高 token 消耗任务而打造：工具调用、编码子任务、路由、抽取以及长文档解析。即日起可在 Meta Model API 和 Muse Code 中使用。
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Releasing Muse Ember today -- our smallest model that delivers higher intelligence per dollar than others in its class. Built for token-heavy work that agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing. Available today on the Meta Model API and in Muse Code.
正文
Meta released Muse Ember, its smallest model, which it says matches Claude Haiku 5.5’s intelligence for about a third of the cost.
aimed at the tool calls, coding subtasks, routing and extraction agents repeat all day.
> up to 200K tokens: $0.10 input, $0.50 output per 1M tokens > over 200K tokens: $0.30 input, $1.50 output per 1M tokens
Haiku charges identical rates for prompts under 100K tokens, so Ember’s cost edge comes mainly from spending fewer tokens per task.