Average Ratings 1 Rating

Total
ease
features
design
support

Average Ratings 1 Rating

Total
ease
features

Description

Muse Spark is Meta’s first model in the Muse family, designed as a natively multimodal AI system focused on advanced reasoning and real-world applications. It combines text, visual understanding, and tool usage to provide more interactive and context-aware responses. The model introduces capabilities like visual chain-of-thought reasoning and multi-agent orchestration for complex problem-solving. Its Contemplating mode allows multiple AI agents to work in parallel, improving accuracy on challenging tasks. Muse Spark performs strongly across domains such as STEM reasoning, health insights, and multimodal perception. It can analyze images, generate interactive outputs, and assist with tasks like troubleshooting or educational content. The model is trained using improved pretraining, reinforcement learning, and efficient test-time reasoning techniques. It is designed to scale efficiently while delivering high performance with optimized compute usage. Safety measures include strong refusal behavior and alignment safeguards across high-risk domains. Overall, Muse Spark is a foundational step toward building personalized, highly capable AI systems.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Agent SDK Yes 
Claude Code Yes 
Codex CLI Yes 
Facebook Yes 
Facebook Messenger Yes 
Gray Swan Yes 
Hermes Agent Yes 
Instagram Yes 
LangChain Yes 
Meta AI Yes 
Meta Model API Yes 
Muse Yes 
Muse Code Yes 
Muse Image Yes 
Muse Video Yes 
Odysseus Yes 
OpenAI Agents SDK Yes 
OpenAI Codex Yes 
OpenClaw Yes 
WhatsApp Yes 

Integrations

Claude Agent SDK Yes 
Claude Code Yes 
Codex CLI Yes 
Facebook Yes 
Facebook Messenger Yes 
Gray Swan Yes 
Hermes Agent Yes 
Instagram Yes 
LangChain Yes 
Meta AI Yes 
Meta Model API Yes 
Muse Yes 
Muse Code Yes 
Muse Image Yes 
Muse Video Yes 
Odysseus Yes 
OpenAI Agents SDK Yes 
OpenAI Codex Yes 
OpenClaw Yes 
WhatsApp 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 No 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai/

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