Muse Ember
Meta's new small, low-cost model for running AI agents that carry out tasks, priced to undercut rivals for developers.
Key facts
- Released
- Nov 9, 2026
- What it does
- Text and chat: Writes, answers questions and holds a conversation.Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.Sees images: Understands pictures, screenshots and charts you share with it.Reads files: Reads documents such as PDFs.Listens: Understands speech and other sounds.Watches video: Understands video clips you share with it.
Can I use it?
In an app
No app mentioned so far.
For developers
Developers can use it now through an API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet..
Download
Not downloadable: it runs on the maker's own servers.
Price and limits
What developers pay to use it through the API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet., per million Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens. sent (input) or written back (output), and how much it can take in at once.
- Input
- $0.10
- per million tokensCached: $0.004
- Output
- $0.50
- per million tokens
- Context window: How much a model can keep in mind at once: your question, any files you share and its own replies. Measured in tokens; 1,000 tokens is about 750 words.
- 1.05M tokens
- about 790,000 words
From OpenRouter, checked .
How it scores
Not in the independent rankings yet. New models usually show up within a few weeks, and this page updates when they do.
Compare Muse Ember with
It came out 25 days after Muse Spark Open, the lab's previous model.
The details
Meta has released Muse Ember, a new lightweight model for Agent: An AI that doesn't just answer but takes steps on its own to finish a task: searching the web, running code or using apps. execution. At 10 cents per million input Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens., it is significantly cheaper than Frontier model: The most capable models of the moment, from the handful of labs at the cutting edge. competitors like Haiku and Luna.
Model ID: The exact name developers type to use a model, like gpt-5-mini. New IDs often show up in a lab's systems before the official announcement, which is how trckr spots many releases early.
meta/muse-emberTimeline
/TechCrunchFirst signal
Meta releases Muse Ember, a new lightweight model for agent execution
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