AI
Meta’s new Muse model looks strong at orchestration but weaker at interfaces and 3D
Theo’s hands-on testing portrays Meta’s Muse Wonderful Full as a capable, efficient coding and orchestration model with a high reliability floor, strong delegation, and useful code-review behavior. It sometimes matched leading systems in real-world tasks while completing work faster, but performed poorly on user interfaces and 3D tasks. The comparison is limited by subjective tests, unclear benchmark methodology, and the absence of pricing for the full model, so its cost-performance remains unresolved.
Editorial summary · Public video captions
What matters
- The full model reportedly handled long-running multi-agent coding workflows effectively and produced clearer operational summaries.
- In comparisons, Opus found deeper and more novel issues, while Muse was faster and often useful as a reviewer or first-pass fixer.
- Muse’s 3D and interface-generation abilities were described as major weaknesses.
- The strongest benchmark results involved the subscription-only full model, whose price was not disclosed.
Context & caveats
- The findings come from one reviewer’s experiments and should not be treated as independent benchmark evidence.
- The transcript contains machine-transcription uncertainty in model names and benchmark labels.
Why this made the edition
A detailed hands-on comparison provides substantial observations about capability, speed, orchestration, coding reliability and pricing gaps, though it is one reviewer’s testing and includes subjective judgments.
Source material