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Alexandr Wang Says Muse Ember Is Fast, Smart, and Cost Effective

Alexandr Wang · X· @alexandr_wang·· 3 days ago

5K views · 57 likes · 1 reposts (at collection)

Original
Who
Artificial Analysis
What
published Intelligence Index and cost per task evaluation results for Meta Muse Ember

What happened

Muse Ember is super fast, quite smart, and very cost effective. Try it out! twitter.com/rynorhn/status/21… @rynorhn says Muse Ember matches Haiku 5.5 on overall intelligence at roughly a third of the cost per task, and costs the same per token as GPT-6 Luna while scoring significantly higher. Alexandr Wang calls it super fast, quite smart, and very cost effective.

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

2 reports

    Article

    muse ember🔥 is super fast ⚡, quite smart 🧠, and very cost effective 💸

    try it out! twitter.com/rynorhn/status/21…

    Quoted postRyan Orhan@rynorhn

    meta is so back.

    muse ember is matching haiku 5.5 on overall intelligence at roughly a third of the cost per task. and it costs the same per token as gpt-6 luna while scoring significantly higher.

    great launch. twitter.com/finkd/status/2119…

    View the quoted post on X

    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 03:47 (UTC+8)

      Alexandr Wang Says Muse Ember Is Fast, Smart, and Cost Effective This report