What is Muse Wonder Full?
Muse Wonder Full is a large-scale artificial intelligence model developed by Meta for advanced agentic reasoning, professional knowledge work, and complex software engineering tasks. Introduced in October 2026, it represents the larger variant of the Muse Wonder family and builds on Meta's research into scaling pretrained models and reinforcement learning. The model is designed to manage complex objectives involving multiple steps, changing requirements, external information, and sustained problem-solving. Its Active Memory capability maintains important contextual information across conversations and retrieves relevant details when they become useful for subsequent tasks. Active Focus enables the model to pursue long-running assignments, explore alternative strategies, recover from obstacles, and adapt to new information. The system can request clarification when instructions are incomplete and seek user confirmation before performing important actions. Muse Wonder Full supports professional applications involving legal documents, financial analysis, health-related information, and business process automation. Its coding capabilities include generating software, analyzing existing repositories, tracking implementation requirements, modifying source code, and performing iterative testing and debugging. Meta trained the model on diverse long-running software engineering tasks to support development projects requiring multiple rounds of implementation and revision. Evaluations include MemoryBench for contextual memory, FocusBench for sustained task execution, SWE-Marathon and DeepSWE for software engineering, and additional assessments covering professional agents and unfamiliar problem-solving tasks. Muse Wonder Full is available to Muse Code subscribers, with Meta also reporting safety evaluations addressing personal information handling, adversarial instructions, unauthorized code execution, and misuse prevention.
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Muse Wonder Full Customer Reviews
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Super frontier model from Meta
Date: Oct 12 2026SummaryOverall, Muse Wonder Full feels like Meta’s true frontier model. It is the version I would use when the task is hard enough that reliability, coding strength, memory, and long-horizon execution matter more than speed or cost.
PositiveI can give it a big coding or research task and it does a better job staying focused, recovering when something goes wrong, and actually finishing the job instead of stopping halfway through.
NegativeThe downside is access. Right now Wonder Full is limited to Muse Code subscribers rather than being broadly available through the Meta Model API, so it is harder to plug directly into custom apps and agent stacks.
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