Muse Spark 1.1 Reviews & Ratings

Muse Spark 1.1

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is Muse Spark 1.1?

Muse Spark 1.1 is an advanced multimodal reasoning model from Meta Superintelligence Labs built for agentic work, coding, computer use, tool calling, and multimodal understanding. It is a major upgrade from Muse Spark and is designed to push the performance-efficiency frontier for AI systems that need to plan, reason, act, and coordinate across complex workflows. The model can operate across external apps, native tools, MCP servers, custom skills, browsers, scripts, images, videos, PDFs, audio, and developer environments. Muse Spark 1.1 is especially strong in agentic orchestration, where it can gather context, make plans, delegate work to parallel subagents, and manage execution across multiple steps. As a subagent, it can follow a defined role, use available tools appropriately, and escalate back to a main agent when needed. Its 1 million token context window helps it remember past actions, retrieve information from earlier in a project, and compact long sessions while keeping important details available for later work. For computer-use tasks, Muse Spark 1.1 can navigate unfamiliar interfaces, adapt to changing requirements, and choose whether to click through an interface or write scripts when automation is faster. In software engineering, the model can diagnose complex bugs, implement new features, perform large code migrations, build web applications, inspect screenshots, trace issues to code, and validate fixes. Its multimodal capabilities allow it to inspect visual and audio information, generate detailed image and video captions, create visual-to-code artifacts, and combine perception with action in practical workflows. Developers can access Muse Spark 1.1 through Meta’s new Model API public preview, and everyday users can try it in Thinking mode in the Meta AI app.

What is Beaker Notebook?

BeakerX is a versatile collection of kernels and extensions aimed at enhancing the Jupyter interactive computing experience. It supports JVM and Spark clusters, promotes polyglot programming, and features tools for crafting interactive visualizations like plots, tables, forms, and publishing options. The available APIs cover all JVM languages, along with Python and JavaScript, which enables the development of various interactive visualizations, including time-series graphs, scatter plots, histograms, heatmaps, and treemaps. A key highlight is that widgets retain their interactive nature whether the notebooks are stored locally or shared online, offering specialized tools for handling large datasets with nanosecond precision, zoom capabilities, and data export options. The table widget in BeakerX can effortlessly recognize pandas data frames, empowering users to search, sort, drag, filter, format, select, graph, hide, pin, and export data directly to CSV or the clipboard, thus enhancing integration with spreadsheets. Furthermore, BeakerX features a Spark magic interface that comes with graphical user interfaces for monitoring the configuration, status, and progress of Spark jobs, allowing users to either interact with the GUI or write code to initiate their own SparkSession. This adaptability positions BeakerX as an invaluable resource for data scientists and developers managing intricate datasets, providing them with the tools they need to explore and analyze data effectively. Ultimately, BeakerX fosters a more seamless and productive data analysis workflow, encouraging innovation in data-driven projects.

Media

Media

Integrations Supported

C++
CSS
Continue
Facebook
Kotlin
Kubernetes
Lua
Meta AI
Model Context Protocol (MCP)
Muse Image
Muse Spark
OpenAI Codex
OpenClaw
PowerShell
SQL
Solidity
Swift
TypeScript
WhatsApp
XML

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai

Company Facts

Organization Name

Two Sigma Open Source

Company Website

BeakerNotebook.com

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

Application Development

Access Controls/Permissions
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Deployment Management
Graphical User Interface
No-Code
Reporting/Analytics
Software Development
Source Control

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