Meta: Muse Wonder

Audio input Video input Text input File input Image input Text output
Author's Description

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

Key Specifications
Cost
+$$$$$
Context
1M
Released
Oct 12, 2026
Speed
★★★
Ability
★★★★
Reliability
★★★★★
Supported Parameters

This model supports the following parameters:

Top P Structured Outputs Temperature Tool Choice Reasoning Include Reasoning Response Format Tools Max Tokens
Features

This model supports the following features:

Tools Structured Outputs Response Format Reasoning
Performance Summary

Meta's Muse Wonder, a frontier reasoning model created on October 12, 2026, demonstrates a strong performance profile, particularly in its reliability and accuracy across complex tasks. The model exhibits competitive response times, ranking in the 45th percentile for speed across four benchmarks. However, it is positioned at premium pricing levels, falling into the 5th percentile for cost. A standout feature is its exceptional reliability, achieving a 100% success rate across all benchmarks, indicating minimal technical failures and consistent evaluable responses. In terms of specific capabilities, Muse Wonder excels in Instruction Following, achieving 89.0% accuracy (94th percentile), and Coding, with 95.0% accuracy (83rd percentile). Its Reasoning and Mathematics capabilities are also robust, scoring 92.0% (64th percentile) and 94.0% (69th percentile) respectively. While its accuracy is consistently high, the model's duration for these tasks, particularly Coding and Mathematics, is on the higher side, contributing to its average speed ranking. Its primary strength lies in its high accuracy and unwavering reliability across diverse and complex agentic tasks, making it a dependable choice despite its premium cost and moderate speed.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $4
Completion $20
Input Cache Read $0.2
Web Search $2500

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Meta
Meta | meta/muse-wonder-20261012 1M $4 / 1M tokens $20 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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