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Description
Muse Spark 1.1 is Meta’s upgraded multimodal reasoning model designed to support advanced agentic workflows, coding tasks, computer use, and complex tool orchestration. Developed by Meta Superintelligence Labs, it builds on Muse Spark with major gains in planning, tool use, long-context reasoning, multimodal perception, and real-world task execution. The model can work across external apps and services, native tools, MCP servers, custom skills, browsers, scripts, images, video, PDFs, and audio inputs. Muse Spark 1.1 can act as a main agent by gathering context, creating a plan, and delegating work to parallel subagents, or operate as a subagent that follows instructions and escalates when needed. Its 1 million token context window allows it to retain earlier actions, retrieve information from long workflows, and compact context while preserving critical details. The model is also trained for computer-use tasks, deciding when to automate with scripts and when to interact directly with an interface. In coding workflows, Muse Spark 1.1 can diagnose bugs, implement features, migrate large codebases, generate web applications, take screenshots, identify UI issues, and validate fixes. Its multimodal strengths include visual-to-code generation, detailed image and video captioning, grounded perception, and workflows where seeing, reasoning, and acting happen together. Available through the Meta Model API public preview and in Thinking mode inside Meta AI, Muse Spark 1.1 gives developers and users a more capable foundation for building agents, automations, coding assistants, and multimodal productivity tools.
Description
Spark offers a three-dimensional perspective of your application's interface along with the capability to adjust view settings dynamically during runtime, enabling you to design exceptional applications. If your app relies on notifications, Spark's notification monitor tracks each NSNotification as it is dispatched, providing a comprehensive stack trace, a detailed list of recipients, the methods invoked, and additional relevant information. This feature allows for a quick understanding of your app's architecture while enhancing debugging efficiency. By connecting your application to the Spark Inspector, you place your app's interface in the spotlight, with real-time updates reflecting your interactions. We keep track of every alteration within your app's view hierarchy, ensuring you remain informed about ongoing changes. The visual representation of your app in Spark is not only aesthetically pleasing but also fully customizable. You have the ability to alter nearly every aspect of your views, from class-level properties to CALayer transformations, and upon making any changes, Spark triggers a method within your app to directly implement that adjustment. This seamless integration fosters a more intuitive development experience, allowing for rapid iteration and refinement.
API Access
Has API
API Access
Has API
Integrations
C
Claude Agent SDK
Continue
Go
Gray Swan
Instagram
Kotlin
Kubernetes
LangChain
LlamaIndex
Integrations
C
Claude Agent SDK
Continue
Go
Gray Swan
Instagram
Kotlin
Kubernetes
LangChain
LlamaIndex
Pricing Details
$1.25 per 1M tokens (input)
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial
Free Version
Pricing Details
$49.99 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
meta.ai
Vendor Details
Company Name
Spark Inspector
Website
sparkinspector.com