Muse Ember

Meta·US·Released 2026-11-09

ClosedReasoningAudioReasoningTool useVision

Muse Ember is Meta's smallest and most efficient reasoning model, built for high-volume agent work such as tool calls, coding subtasks, routing, extraction, and long-document parsing. It accepts text, image, video, audio, and PDF input with a 1M-token context window.

1Mcontext

$0.1 / $0.5per 1M tokens (in / out)

—parameters

24stories in our feed

Specs

hover a value to see its source

Context window1M

Max output512K

Parameters—

Knowledge cutoff—

LicenceProprietary

Commercial useAPI only

InputText · Image · Video · PDF · Audio

OutputText

Familymuse

API price

USD per 1M tokens

Input$0.1

Output$0.5

Cached input$0.004

No price change recorded since we started tracking.

News timeline

from the AITOP feed, one story per eventAll 24 →

2026-11-10

Meta 发布轻量模型 Muse Ember，跑分媲美 Claude Haiku 5.5，单任务成本仅 1/3IT之家

Meta 发布小模型 Muse Ember，首次通过 Google Cloud 和 Oracle 销售 APIBlognone

2026-11-09

Muse Ember Matches GPT-6 Luna on Browser-Use Benchmark at Lower CostBrowser Use

Meta Muse 系列（Muse Wonder、Muse Spark 1.3、Muse Ember）登陆 Google Cloud 公测TestingCatalog

Meta 的 Muse Ember 模型接入 Cline，主打子智能体任务Cline

Meta 发布最小模型 Muse Ember：单价对标 Claude Haiku 5.5，跑分成本仅三分之一宝玉

Meta Muse Ember (Max) tops Code Arena WebDev small-model ranking at 1608 ptslmarena.ai

Muse Ember 上架 OpenRouter，支持多模态输入为前沿模型分担工作OpenRouter

Muse Ember Small Model Hits Efficiency Frontier at One-Third of Haiku CostAlexandr Wang (Meta MSL)

Muse Ember Debuts at 17x Lower Cost Than Muse Spark 1.3Alexandr Wang (Meta MSL)

Meta 发布 Muse Ember：多模态模型，智能体与编程基准超过 Claude Haiku 5.5 和 GPT-6 Lunakimmonismus