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About

Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. It is designed to operate across tools, MCP servers, custom skills, browsers, native apps, scripts, images, video, PDFs, and audio-based workflows. Developers can access Muse Spark 1.1 through the new Meta Model API public preview, while users can try it in Thinking mode in the Meta AI app and on meta.ai.

About

Simpliflow AI centers on Loop, a unified MCP (Model Context Protocol) gateway that consolidates integrations across AI agents and tools into one orchestrated layer. With Loop, you mount external MCP servers and integrate multiple apps just once; then, instead of embedding every tool schema into the language model context (which bloats prompts), Simpliflow dynamically retrieves and executes the needed tool only when a query triggers it. This keeps LLM contexts compact and avoids hitting tool limits. Loop offers a dashboard to manage all integrations and MCP connections, supports over 1,500 pre-built integrations via managed OAuth, and enables compatibility with any MCP-enabled AI app. It enforces schema validation and integrity checks for security and reliability, giving power users fine-grained control while providing a safer, unified environment for AI workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Muse Spark 1.1 is best suited for developers, AI engineers, enterprises, agent builders, coding tool teams, research teams, and productivity-focused users that need a multimodal reasoning model for agentic workflows, coding, computer use, long-context tasks, tool orchestration, and advanced automation

Audience

AI developers and infrastructure teams interested in a solution to manage and orchestrate tool integrations across multiple AI agents without overloading LLM contexts

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Muse Spark 1.1 has been awesome for the way I actually build with AI: agents, coding workflows, tool calls, debugging loops, and messy real-world tasks that do not fit neatly into a single prompt. It feels much stronger than the first version when I need it to reason through code, work across multiple steps, understand context, and keep an agent moving without constantly falling apart. The multimodal side is also a big plus because being able to work with docs, screenshots, images, and other inputs makes it way more useful for building practical AI products.

Cons

  • It is still early, so I would not call it perfect yet. Like any advanced model, you still need good scaffolding, evals, guardrails, and monitoring if you are putting it into production agent workflows. I also want to see the API ecosystem, docs, examples, and integration patterns mature more, because those things matter a lot when you are building real agentic systems instead of just testing prompts.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
meta.ai

Company Information

SimpliflowAI
United States
www.simpliflowai.com

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Categories

Categories

Integrations

Model Context Protocol (MCP)
.NET
C
CSS
Claude
Claude Agent SDK
Gmail
HTML
Hermes Agent
JavaScript
LlamaIndex
Muse Spark
Notion
Odysseus
PowerShell
Ruby
Salesforce
Solidity
Supabase
Swift

Integrations

Model Context Protocol (MCP)
.NET
C
CSS
Claude
Claude Agent SDK
Gmail
HTML
Hermes Agent
JavaScript
LlamaIndex
Muse Spark
Notion
Odysseus
PowerShell
Ruby
Salesforce
Solidity
Supabase
Swift
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