Muse Ember

Released
2026-11-09
Last refreshed
2026-11-10
Status
Researched today
ProprietaryCommercial use: restrictedMultimodalRAGAgentsLong contextVisionJSON / Tool use
AI at Meta releases · 12 in the last 12 months · this family litChangelog →
Specifications
Family
Muse
Released
2026-11-09
Context
1M
Max output
512K
Specialization
general
Openness
Proprietary
License
ProprietaryRestricted
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.500
Input / 1M
$0.100

Cheapest of 3 routes · Meta Model API · cache read $0.004

About

Muse Ember is Meta Superintelligence Labs' smallest and most efficient Muse model, introduced November 9, 2026, for the work agents repeat all day: tool calls, coding subtasks, routing, extraction and long-document parsing. Meta says it is the first model trained using Muse Wonder Full. It takes text, image, audio and video input and returns text, with a 1M-token context window and up to 512K output tokens, and supports the Responses API.

Providers(3)

Compare all 3

Compare API pricing across 3 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Meta Model API$0.100$0.500read $0.004
Serverless
OpenRouter$0.100$0.500read $0.004
Serverless
Vercel AI Gateway$0.100$0.500read $0.004
Serverless

Capabilities

VisionMultimodalReasoningJSON / Tool usePrompt CachingAudioVideo

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

API versions

muse-ember-1.0