Skip to content
K = 0.731Subscribe
Models

Meta Introduces Muse Ember for Reasoning and Agent Work

AI at Meta · XFrom the source· @AIatMeta·· 3 days agoSame news

33.2K views · 700 likes · 73 reposts (at collection)

View original post on X
Original
Who
Meta
What
released the Muse Ember AI model
Quote
Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work.

What happened

Meta is introducing Muse Ember, which it describes as its smallest and most efficient model, built for complex reasoning execution and everyday agent work. The model can carry workflows across apps, call tools in sequence, run tests, and make targeted code fixes. It has a 1M-token context window and native understanding of text, images, audio, and video.

The same story is shown in the picks as 《Meta Launches Muse Ember, a Small Model for Routine Agent Tasks》

Read next

See the full storyMeta Releases Muse Ember and Says Crouton Alpha Was an Early Version

Reported by 3 sources

    Article

    Today we're introducing Muse Ember, our smallest and most efficient model, built for complex reasoning execution and everyday agent work.

    Muse Ember can carry workflows across apps, call tools in sequence, run tests and make targeted code fixes. With a 1M-token context window and native understanding of text, images, audio and video, it can also work across large document sets and varied inputs.

    The story so far

    Meta released Muse Ember for routine agent tasks, and Alexandr Wang said Crouton Alpha was an early version of the model. Wang said Meta fixed issues before launch and processed more than 5 trillion tokens in testing. Ember handles tasks such as tool calls, small coding jobs, routing, extraction, and long document processing. It supports text, images, audio, and video, with a context window of up to 1 million tokens. Developers can use it through Meta Model API and Muse Code for $0.10 per million input tokens and $0.50 per million output tokens. Artificial Analysis gave Ember (max) a score of 36 on its Intelligence Index at an average cost of $0.14 per task, compared with $0.41 for Claude Haiku 5.5 (max). Its coding results varied: it beat Haiku 5.5 on Terminal-Bench 4.0 but scored lower on FrontierCode 2.0.

    How the story developed · 3

    View full event
    1. 11/10 04:36 (UTC+8)
      Meta Launches Muse Ember, a Small Model for Routine Agent TasksThe Decoder
    2. 11/10 03:47 (UTC+8)
      Meta Releases Muse Ember, Its Smallest Model, With Benchmark Cost ComparisonsBaoyu
    3. 11/10 02:47 (UTC+8)

      Meta Introduces Muse Ember for Reasoning and Agent Work This report

    Meta / LlamaAgentsReasoningModel releases