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Description

Microsoft has introduced Muse, an innovative generative AI model poised to transform the way gameplay concepts are developed. In partnership with Ninja Theory, this World and Human Action Model (WHAM) draws training data from the game Bleeding Edge, granting it a profound grasp of 3D game landscapes, including the intricacies of physics and player interactions. This capability allows Muse to generate varied and coherent gameplay sequences, which can enhance the creative process for developers. Additionally, the AI is capable of creating game visuals and anticipating controller actions, streamlining prototyping and artistic exploration in game design. By leveraging an analysis of over 1 billion images and actions, Muse showcases its potential not only for game creation but also for game preservation, as it can recreate classic titles for contemporary gaming platforms. Despite being in its initial phases, with output currently limited to a resolution of 300×180 pixels, Muse signifies a pivotal step forward in harnessing AI to support game development, with the goal of amplifying human creativity rather than supplanting it. As Muse evolves, it may open up new avenues for both game innovation and the revival of beloved gaming classics.

Description

Muse Wonder is an advanced AI foundation model developed by Meta to support personal AI agents, professional knowledge work, and software engineering tasks. The model is part of the Muse Wonder series, which includes Muse Wonder and the larger Muse Wonder Full variant. 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 multistep objectives, evaluate alternative approaches, respond to obstacles, and continue working toward completion. Muse Wonder supports applications involving legal document analysis, financial information, health-related questions, and business workflow automation. Its coding capabilities include generating applications, modifying existing codebases, tracking project requirements, and iterating through testing and debugging cycles. The model can operate as part of agentic systems that interact with browsers, external applications, and connected tools to complete user-directed activities. Meta has evaluated Muse Wonder on benchmarks covering personal assistance, professional agent tasks, long-term memory, sustained execution, and software development. Muse Wonder is accessible through the Meta Model API and Muse Code, with plans to incorporate its capabilities into the Muse assistant and additional AI-powered experiences.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Bash No 
Cheaper Inference No 
Cloudflare No 
GPT-5.4 mini Yes 
GPT-5.6 Sol Ultrafast Yes 
Hugging Face Yes 
Kotlin No 
LangChain No 
Muse No 
Muse Image No 
Objective-C No 
OpenAI Agents SDK No 
OpenClaw No 
PowerShell No 
Scala No 
Vercel No 
Vercel AI Gateway No 
Vercel AI SDK No 
WhatsApp No 
XML No 

Integrations

Bash Yes 
Cheaper Inference Yes 
Cloudflare Yes 
GPT-5.4 mini No 
GPT-5.6 Sol Ultrafast No 
Hugging Face No 
Kotlin Yes 
LangChain Yes 
Muse Yes 
Muse Image Yes 
Objective-C Yes 
OpenAI Agents SDK Yes 
OpenClaw Yes 
PowerShell Yes 
Scala Yes 
Vercel Yes 
Vercel AI Gateway Yes 
Vercel AI SDK Yes 
WhatsApp Yes 
XML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$4 per 1M tokens (input)
Input: $4 per 1M tokens
Output: $20 per 1M tokens
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

microsoft.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai/

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