Muse Wonder Full
muse family · launched 2026-10-12
MultimodalReasoningToolsStructuredOpen Llama multimodal model for image understanding and text reasoning
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 · CodingAIHOT69.30 scoreReading 69.3
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 · ResearchAIHOT70.40 scoreReading 70.4
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 · ProfessionalAIHOT71.70 scoreReading 71.7
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 · KnowledgeAIHOT68.10 scoreReading 68.1
Imported from AIHOT aggregate leaderboard. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidenceHuman preference & indices2 results
AIHOT aggregate leaderboardAIHOT70.00 scoreReading 70.0
Imported from AIHOT aggregate leaderboard. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidenceAA IndexArtificial Analysis70.00 indexReading 66.8
Imported from Artificial Analysis. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: AIHOT aggregateOpen evidence