Muse Ember
描述
Muse Ember is Meta Superintelligence Labs' smallest and most efficient multimodal reasoning model, built for high-volume agent execution such as tool calls, coding subtasks, routing, extraction, and long-document work. It is available on the Meta Model API and in Muse Code as muse-ember-1.0 in Standard mode only (there is no Contributor-mode variant). It accepts text, image, video, audio, and PDF input and returns text, with a 1,048,576-token context window and up to 524,288 output tokens. Reasoning effort ranges from minimal to max; the default is max. Pay-as-you-go pricing for requests with up to 200K input tokens is $0.10 per million input tokens, $0.004 per million cached input tokens, and $0.50 per million output tokens. Requests with more than 200K input tokens are billed in full at $0.30/$0.012/$1.50. Web search grounding costs $2.50 per 1,000 search queries on top of token charges.
能力雷達圖
缺少專門科學評測時,Science 由 LLM Stats 科學得分或推理能力估算。
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
Multimodal
Reasoning
Vision
AA 評測指數
(Artificial Analysis)暫無 AA 評測資料
LLM Stats 分類評分
(LLM Stats (zeroeval))定價
速度
暫無速度資料
供應商價格排行
供應商價格排行
4 個供應商
比較該模型在不同 API 供應商之間的定價。