Clinical Benchmarks
Menu

Muse Wonder

Released 12 Oct 20261M contextproprietaryAlso written as Muse Wonder, meta/muse-wonder, Meta: Muse Wonder

1 result on 1 of 13 boards, latest measured Oct 2026. Compare with other models

Clinical Benchmarks Index52.7Rank 36 of 1531 of 10 boardsThis site’s own calculation. Show the working How it is computed

Results

Each line sits on its own board's scale. Tall tick: the board leader.

Clinical reasoning and knowledge

  1. HealthBench Professional
    Meta internal run; length-normalized weighted rubric score, GPT-5.4 grader, no tools, max reasoning effort (Muse Wonder Model Card p. 3 table, Muse Wonder (max) column)
    0.605
    Rank 15 of 43Leader GPT-6 Astra (Anthropic run) 0.703
    Vendor-reported
    Measured Oct 2026

Index working

Show the working: each board’s result, how hard the board runs and the field average

The Clinical Benchmarks Index is this site's own calculation from 10 boards. How it is computed

  • HealthBench Professional0.60560.5+1.0 easy board59.50.743 weightMeta internal run; length-normalized weighted rubric score, GPT-5.4 grader, no tools, max reasoning effort (Muse Wonder Model Card p. 3 table, Muse Wonder (max) column)
Adjusted result, one board
59.5
Field average, counts for 60% with 1 of 10 boards
48.1
Index
= 52.7

Score: the result on the board’s own 0 to 100 scale (dot; tick: the board’s leader). Board runs: how far the board’s scores sit above or below the same models’ scores on the other boards. Adjusted: the score minus that offset. The index is the adjusted average with the field average mixed in, more of it the fewer boards a model has. Each result links to its quote and page; the line under it is the setting it was measured with.

Sources

The quote, page and document for each of the 1 result
  1. 15HealthBench Professional Meta internal run 0.605
    Printed as 60.5Vendor-reported, measured Oct 2026Configuration: Meta internal run; length-normalized weighted rubric score, GPT-5.4 grader, no tools, max reasoning effort (Muse Wonder Model Card p. 3 table, Muse Wonder (max) column)
    Muse Wonder Model Card model card, Meta, 12 Oct 2026. p. 3, results table (image), HealthBench Pro row, Muse Wonder (max) column; methodology p. 4
    HealthBench Pro (Open-ended health queries) | Muse Wonder Full (max) 62.3 | Muse Wonder (max) 60.5 | Claude Fable 5.1 (max) 62.1 | GPT-6 Astra (max) 65.3 | Claude Opus 5.5 (max) 65.6 Methodology (p. 4): HealthBench Pro evaluates responses to 525 professional-grade health questions. Models answer without tools, and a GPT-5.4 grader scores each response against physician-written rubrics. We run the official tasks and grading in a common internal framework. The primary metric is the length-normalized weighted rubric score.
    Every result from this document

Other Meta models: Llama 3.1 70B, Llama 3.1 8B, Llama 4 Maverick, Llama 4 Scout, Muse Spark, Muse Spark 1.1, Muse Spark 1.2, Muse Wonder Full