Meta
Meta

Muse Ember

Release Date 2026-11-091.0M IN · 944K OUTProprietary ModelAPI available
Overall3.0Top 31%
AutomationResearching
Docs & officeResearching
CodingResearching

Muse Ember is Meta's smallest and most efficient model in the Muse family, built for high-volume, repeated work that AI agents do all day. It handles tasks such as making tool calls, running focused coding subtasks, routing and classifying requests, and extracting information from many files or records at once. For example, a team can have it caption, rename, and sort thousands of photos into albums, or read screenshots, scanned documents, voice memos, and video directly without a separate model for each.

It suits teams that need to run the same kind of small task many times and want each one handled quickly and at low cost. Muse Ember is meant to work alongside larger Muse models such as Muse Wonder or Muse Spark, which do the planning and harder reasoning while Muse Ember carries out the high-volume execution. It is a proprietary model, so its weights are not publicly available.

API cost

Provider price
$0.1IN$0.5OUT
SourceOpenRouterLast updated

Output Speed

Very fastper 2,000 tokens
201tok/s
First Output 1.8stotal: 11.8s
SourceOpenRouterLast updated

Expert Performance Evaluation

How strong is it across many tests combined?AA Intelligence Index v5Top 36%#16
36.0Reasoning effort: Max

By effortExtra High 34.1Max 36.0

More about AA Intelligence Index v5

64.3%38.2%49.0%25.0%63.8%

More about APEX-Agents

Can it build a working web app from a plain-language spec?Vibe Code Bench v1.1Top 26%#22
83.7%Reasoning effort: Max

More about Vibe Code Bench v1.1

Can it avoid falling for trick questions that are easy for people?SimpleBenchTop 34%#19
72.7%

More about SimpleBench

See each evaluation’s detail page for its source and last updateData sources & removal requests