Agentic task orchestration
The model can gather context, make a plan, and delegate work across parallel subagents for tasks that span multiple apps and services.
Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model for agentic tasks, coding, computer use, and multimodal understanding. Available in public preview via the Meta Model API, Meta AI app, and meta.ai.
Overview
Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs designed for agentic tasks. Meta positions it as an upgrade over Muse Spark, with stronger tool and computer use, coding, and multimodal understanding.
The model is available through the new Meta Model API in public preview, and it is also available in Thinking mode in the Meta AI app and on meta.ai. The launch emphasizes long-context work, orchestration across tools and subagents, and workflows that require both perception and action.
Features
Native tool and MCP support
Meta says Muse Spark 1.1 zero-shot generalizes to new native tools, MCP servers, and custom skills.
1 million token context management
The model is trained to actively manage a very large context window, retain earlier actions, and compact work while preserving important steps.
Computer-use workflow handling
It can switch between scripting, clicking, and batching actions depending on whether automation or direct interaction is faster.
Coding on large codebases
Meta says it performs better on real-world coding tasks such as bug fixing, feature implementation, and code migrations.
Multimodal reasoning and grounded outputs
The model can work with visual and audio inputs and produce outputs useful for tasks like image and video captioning or visual-to-code workflows.
Use Cases
Agent workflows across apps
Useful when a task requires planning, context collection, and coordinated execution across multiple tools or services.
Computer-assisted desktop work
Fits workflows that involve unfamiliar interfaces, changing requirements, or long sessions where the model needs to preserve context.
Software development
Applicable to debugging, implementing features, tracing issues across a codebase, and validating changes in agentic coding setups.
Multimodal content workflows
Useful when a workflow starts from images, video, or audio and ends in an action such as captioning, code generation, or browser-based execution.
Marketplace and listing tasks
Meta highlights a workflow where the model uses smartphone video, extracts useful photos, reasons about the product, and helps create a Facebook Marketplace listing.
Pros and Cons
Pros
- Stronger tool use, coding, and multimodal understanding than the earlier Muse Spark release.
- Designed for long-horizon work with multi-agent orchestration and large-context management.
- Available both through the Meta Model API and in Meta AI surfaces for broader access.
- Meta reports stronger resistance to jailbreaks, prompt injection, and other adversarial attacks in its safety evaluations.
Cons
- Public preview status means availability and behavior may still change.
- The source material does not provide pricing, plan limits, or detailed API documentation.
FAQ
What is Muse Spark 1.1?
Muse Spark 1.1 is Meta's multimodal reasoning model for agentic tasks, released as an upgrade over Muse Spark.
Who can use it?
Developers can access it through the Meta Model API in public preview, and end users can use it in Thinking mode in the Meta AI app and on meta.ai.
What kinds of tasks is it built for?
Meta highlights planning and orchestration across tools, computer use, coding, and multimodal understanding.
Does it support long-context workflows?
Yes. Meta says the model can actively manage a 1 million token context window and preserve important steps over long workflows.
Is pricing published?
The provided source material does not include pricing details, and the pricing page was not available in the collected evidence.
Quick Facts
- Category
- Multimodal reasoning model
- Primary users
- Developers and Meta AI users
- Access
- Public preview via the Meta Model API; Thinking mode in Meta AI app and on meta.ai
- Source domain
- ai.meta.com
- Context window
- 1 million tokens
- Notable workflow
- Agentic tasks across tools, apps, and subagents
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