Muse Wonder
muse family · launched 2026-10-12
MultimodalReasoningToolsStructuredMuse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.
What this model supports
Strengths by domain
Every result has a source
Raw results and standardized readings are shown together. Missing tests add neither points nor penalties.
Coding1 results
AIHOT · CodingAIHOT66.00 scoreReading 66.0
Imported from AIHOT aggregate leaderboard. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidenceResearch & reasoning1 results
AIHOT · ResearchAIHOT68.00 scoreReading 68.0
Imported from AIHOT aggregate leaderboard. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidenceProfessional work1 results
AIHOT · ProfessionalAIHOT70.60 scoreReading 70.6
Imported from AIHOT aggregate leaderboard. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidenceKnowledge & instruction1 results
AIHOT · KnowledgeAIHOT65.60 scoreReading 65.6
Imported from AIHOT aggregate leaderboard. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidenceHuman preference & indices3 results
AA IndexArtificial Analysis70.22 indexReading 74.2
Imported from Artificial Analysis. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidenceArena TextLMArena1,505.1 EloReading 67.5
Direct LMArena text leaderboard result.
Open evidenceAIHOT aggregate leaderboardAIHOT67.50 scoreReading 67.5
Imported from AIHOT aggregate leaderboard. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidence