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What is Muse Spark?

Muse Spark is an advanced multimodal AI model developed by Meta Superintelligence Labs, representing a major step toward personal superintelligence. It is built from the ground up to integrate text, images, and tool-based interactions, enabling more dynamic and intelligent responses. The model features visual chain-of-thought reasoning, allowing it to process and explain visual information in a structured way. It also supports multi-agent orchestration, where multiple AI agents collaborate to solve complex problems efficiently. Muse Spark introduces Contemplating mode, which enhances reasoning by enabling parallel agent workflows for higher accuracy and performance. The model demonstrates strong capabilities in areas such as STEM reasoning, health analysis, and real-world problem-solving. It can generate interactive experiences, such as visual annotations, educational tools, and personalized insights. Muse Spark is trained using a combination of advanced pretraining, reinforcement learning, and optimized test-time reasoning strategies. Its architecture focuses on scaling efficiency, achieving strong performance with reduced computational requirements. Safety is a key priority, with built-in safeguards, alignment mechanisms, and robust evaluation processes. The model is available through Meta AI platforms, with API access in limited preview. Overall, Muse Spark represents a significant evolution in AI, moving closer to highly personalized, intelligent assistants that understand and interact with the real world.

What is Hy3?

The Hy3 preview showcases Tencent Hy's latest and most sophisticated model within the Hy series, boasting an impressive 295 billion parameters arranged in a Mixture-of-Experts framework, with 21 billion parameters activated and a remarkable 3.8 billion allocated to the MTP layer, all while supporting a vast context window of up to 256,000 tokens. This innovative model marks a significant milestone as it utilizes Tencent Hy's newly enhanced infrastructure, which is specifically designed to improve its effectiveness in various practical applications such as complex reasoning, following directives, contextual learning, coding assignments, and overall inference skills. By blending swift and comprehensive cognitive processing, it can provide clear responses for basic questions while also allowing for detailed analysis of complex mathematical, programming, and logical problems. The model is engineered to demonstrate extensive capabilities in comprehending lengthy contexts, following instructions accurately, utilizing tools effectively, and executing agent workflows with precision, with evaluations performed not only against traditional benchmarks but also in realistic business and development scenarios. Additionally, its versatile design allows for effective adaptation across a wide array of situations, significantly expanding its potential for use in numerous applications, thus making it a vital tool in advancing the field.

Media

Media

Integrations Supported

Claude Agent SDK
Claude Code
Codex CLI
Continue
Facebook
Facebook Messenger
Gray Swan
Hermes Agent
Instagram
LangChain
Meta Model API
Model Context Protocol (MCP)
Muse Code
Muse Image
Muse Spark 1.1
Muse Spark 1.2
OpenAI Agents SDK
OpenCode
Vercel AI SDK
WhatsApp

Integrations Supported

Claude Agent SDK
Claude Code
Codex CLI
Continue
Facebook
Facebook Messenger
Gray Swan
Hermes Agent
Instagram
LangChain
Meta Model API
Model Context Protocol (MCP)
Muse Code
Muse Image
Muse Spark 1.1
Muse Spark 1.2
OpenAI Agents SDK
OpenCode
Vercel AI SDK
WhatsApp

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com

Company Facts

Organization Name

Tencent

Date Founded

1998

Company Location

China

Company Website

hy.tencent.com/research/hy3-preview

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