Muse Wonder
Meta's first frontier-class model, closed-weight and built for personal and professional agents, with Active Memory across conversations and Active Focus on long goals; its larger sibling, Muse Wonder Full, is reserved for paid Muse Code subscribers
Muse Wonder
Meta • October 2026
Training Data
Not disclosed
Muse Wonder
October 2026
Parameters
Not disclosed
Training Method
Pretraining and reinforcement learning at Meta's gigawatt-scale Prometheus data center, on larger base models than Muse Spark 1.3
Context Window
1,048,576 tokens
Knowledge Cutoff
Not disclosed
Key Features
Active Memory Across Conversations • Active Focus on Long Goals • Wonder Full for Muse Code Subscribers • Closed Weights
Capabilities
Intelligence: Outstanding (AA Index 52; Wonder Full 56)
Long-Running Coding: Outstanding (Wonder Full 57.5 SWE-Marathon)
Agentic: Outstanding
What's New in This Version
The first Meta model at the frontier: Wonder Full ties Claude Sonnet 5.5 on the Artificial Analysis Intelligence Index, built on larger base models than Muse Spark 1.3; $4/$20 per 1M tokens through the Meta Model API (muse-wonder-1.0), with no downloadable weights for either size
Meta's first frontier-class model, closed-weight and built for personal and professional agents, with Active Memory across conversations and Active Focus on long goals; its larger sibling, Muse Wonder Full, is reserved for paid Muse Code subscribers
What's New in This Version
The first Meta model at the frontier: Wonder Full ties Claude Sonnet 5.5 on the Artificial Analysis Intelligence Index, built on larger base models than Muse Spark 1.3; $4/$20 per 1M tokens through the Meta Model API (muse-wonder-1.0), with no downloadable weights for either size
Technical Specifications
Key Features
Capabilities
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