Ratings and Reviews 1 Rating

Total
ease
features

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    41 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • IUX Reviews & Ratings
    968 Ratings
    Company Website
  • Admin By Request Endpoint Privilege Management Reviews & Ratings
    105 Ratings
    Company Website
  • Buildium Reviews & Ratings
    2,562 Ratings
    Company Website
  • Pensero Reviews & Ratings
    3 Ratings
    Company Website
  • Planview AdaptiveWork Reviews & Ratings
    718 Ratings
    Company Website

What is Muse Wonder?

Muse Wonder is a frontier artificial intelligence model developed by Meta for advanced reasoning, autonomous agent workflows, personal assistance, and professional applications. Released in October 2026, the model belongs to the Muse Wonder family alongside Muse Wonder Full, a larger variant designed for computationally demanding tasks. The model incorporates Active Memory, a capability that preserves important contextual information across conversations and retrieves relevant details to support personalized assistance. Its Active Focus functionality enables sustained execution of complex objectives by exploring alternative solutions, adapting to new information, and working through obstacles. Muse Wonder can request clarification when instructions are incomplete and seek user approval before performing consequential actions. The model supports professional tasks involving legal analysis, financial information, health-related questions, research, and business process automation. Its agentic capabilities allow it to interact with connected applications, navigate browser-based workflows, and use external tools to complete multistep assignments. For software development, Muse Wonder can generate code, build applications, analyze existing projects, modify source files, and perform iterative testing and debugging. Meta trained the Muse Wonder series on diverse long-running tasks to improve performance on software engineering projects and unfamiliar problem-solving scenarios. The model has been evaluated using benchmarks such as MemoryBench, FocusBench, AutomationBench-AA, SWE-Marathon, and DeepSWE, with additional safety evaluations addressing privacy protection, adversarial instructions, and misuse prevention. Muse Wonder is available through the Meta Model API and Muse Code, while Muse Wonder Full is available to Muse Code subscribers, with broader integration into Meta's Muse assistant planned.

What is MuSES?

MuSES sets a new standard for precision in electro-optic and infrared visualizations by initiating a meticulous procedure that begins with detecting heat sources such as engines, exhaust systems, bearings, and electronic components, followed by an exhaustive in-band diffuse radiosity solution. Once your sensor is positioned at the desired distance, you can produce multi-bounce radiance values that have been spectrally summed, employing DeltaT-RSS contrast metrics for nuanced examination. If a sensor response curve is accessible, you can import it to reveal insights that may have previously gone unnoticed, enhancing your understanding of the thermal landscape. With MuSES, the exploration of reality is taken to an extraordinary level of detail. The software is equipped to fully consider the physics behind heat sources and the effects of environmental factors, allowing for effective management of thermal signature contrasts and evaluation of control kits crucial for low observable design in various geographical settings. You can perform thorough assessments of heat shields, cooling techniques, and camouflage surface treatments for in-band radiance while also factoring in the atmospheric attenuation present along the sensor’s line-of-sight. By focusing on engineering priorities with MuSES at the beginning of your project development cycle, you enable your team to make well-informed decisions that optimize overall design efficacy. This proactive approach not only enhances the efficiency of the development process but also leads to improved outcomes for your projects, ensuring that every detail is accounted for and meticulously analyzed. Ultimately, MuSES empowers users to navigate complex thermal environments with confidence and precision.

Media

Media

Integrations Supported

.NET
C
C++
Claude Agent SDK
Claude Code
Codex CLI
Dart
Go
Hermes Agent
Instagram
JavaScript
Kotlin
Lua
Muse Spark
Objective-C
PowerShell
Python
Scala
Swift
YAML

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$4 per 1M tokens (input)
Input: $4 per 1M tokens
Output: $20 per 1M tokens

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai/

Company Facts

Organization Name

ThermoAnalytics

Date Founded

1996

Company Location

United States

Company Website

www.thermoanalytics.com/muses

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

Simulation

Not specified

Popular Alternatives

Popular Alternatives

C-Radiant Reviews & Ratings

C-Radiant

Aechelon Technology
MAK ONE Reviews & Ratings

MAK ONE

MAK Technologies
Muse Reviews & Ratings

Muse

Microsoft