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Muse Ember

by Meta

Meta's smallest Muse-series language model, positioned as a low-cost option for subtasks and delegation.

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Muse Ember at a glance

What is Muse Ember?
Muse Ember is a model from Meta. Meta's smallest Muse-series language model, positioned as a low-cost option for subtasks and delegation.
Who makes Muse Ember?
Muse Ember is made by Meta.
Does Muse Ember work in the EU?
Unverified. No explicit evidence found. Last verified 14 Nov 2026.
How much does Muse Ember cost?
API pricing. Per creator reports: $0.10 per million input tokens and $0.50 per million output tokens. Not verified against an official pricing page.
Where was Muse Ember shown?
In 2 creator videos by Matt Wolfe, Matthew Berman. Most recently by Matt Wolfe on 13 Nov 2026, at 22:15 in “AI News: Things Will Never Be The Same”.

Sources: creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

Muse Ember (also referred to as Muse Amber) is a small language model from Meta, described by creators as the smallest model in Meta's Muse lineup. No official page could be fetched, so the details here rest on secondhand creator reports and have not been checked against Meta's documentation.

Creators report API pricing of about $0.10 per million input tokens and $0.50 per million output tokens, roughly a third of Claude Haiku's price. One reviewer says it sits on the cost-versus-intelligence Pareto frontier. He says it beats Claude Haiku and GPT-6 Luna on several benchmarks and ties Haiku 5.5 on the Artificial Analysis Intelligence Index. Another reviewer describes it as on par with or slightly smarter than Haiku and Luna.

It is suggested as a delegate model for subtasks in agentic workflows, where a cheaper model handles narrow work for a larger one. Details on context length, modalities, licensing, weights availability and access channels were not confirmed.

Key features
  • Smallest model in Meta's Muse series, per creator reports
  • Reported API price of $0.10 per million input and $0.50 per million output tokens
  • Reported to match or slightly exceed Claude Haiku and GPT-6 Luna on some benchmarks
  • Suggested as a delegate model for subtasks
2 moments

As seen on YouTube

Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.

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