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 Mindra?

Mindra functions as an innovative orchestrator for adaptable AI workflows, focusing on teams of agents that you can actually delegate tasks to. When you specify your needs, Mindra gathers a committed team of agents that work continuously, communicate efficiently, and implement actionable steps throughout your entire system. Each team is composed of experts, each dedicated to a specific channel, tool, or domain of expertise, collaboratively exchanging information, assigning tasks, and completing projects through organized workflows and real-time coordination. Every decision made and attempt undertaken is carefully recorded, ensuring that if a tool faces an obstacle or an API reaches its limit, the agent can address the issue while keeping a comprehensive record that is straightforward to audit, replay, and troubleshoot. In addition to basic communication, Mindra agents can halt campaigns, enhance spending efficiency, reallocate budgets, and provide updates to platforms like Slack and email, all while meticulously logging each action and offering the possibility to reverse changes. Teams are able to clearly define their goals, and Mindra customizes an orchestrator that outlines the required sub-agents and tools it will utilize, guaranteeing a personalized and effective strategy for workflow management. This multifaceted system not only empowers organizations to remain agile in their operations but also promotes smooth collaboration among specialized agents, ultimately enhancing productivity and effectiveness in achieving objectives.

Media

Media

Integrations Supported

Continue
Facebook
Go
HTML
Hermes Agent
Java
Kotlin
Kubernetes
Meta AI
Muse Spark
Muse Video
Odysseus
OpenCode
PHP
PowerShell
Ruby
Solidity
XML

Integrations Supported

Google Ads
Slack

API Availability

Has API

API Availability

Has API

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

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai

Company Facts

Organization Name

Mindra

Company Location

United States

Company Website

mindra.co

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

AI Agents

Not specified

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