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

About Muse Spark 1.1

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.

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Pricing

Starting Price:
$1.25 per 1M tokens (input)
Pricing Details:
$1.25 per million tokens in input, and $4.25 per million tokens of output
Free Trial:
Free Trial available.

Integrations

API:
Yes, Muse Spark 1.1 offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5
More Reviews for Muse Spark 1.1 Write a Review

Company Information

Meta
Founded: 2004
United States
meta.ai

Videos and Screen Captures

Muse Spark 1.1 Screenshot 1
Muse Spark 1.1 Screenshot 1 Muse Spark 1.1 Screenshot 2 Muse Spark 1.1 Screenshot 3
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Muse Spark 1.1 Frequently Asked Questions

Q: What kinds of users and organization types does Muse Spark 1.1 work with?
Muse Spark 1.1 works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Muse Spark 1.1 support in their product?
Muse Spark 1.1 supports these languages: English.
Q: What kind of support options does Muse Spark 1.1 offer?
Muse Spark 1.1 offers support via online.
Q: What other applications or services does Muse Spark 1.1 integrate with?
Muse Spark 1.1 integrates with: Vercel AI SDK, Bash, C, C++, C#, Claude Agent SDK, Claude Code, Codex CLI, Continue, CSS, Dart, Facebook Messenger, Facebook, Go, Gray Swan, Hermes Agent, HTML, Instagram, Java, JavaScript, Kotlin, Kubernetes, LangChain, LlamaIndex, and Lua and more.
Q: Does Muse Spark 1.1 have an API?
Yes, Muse Spark 1.1 has an API.
Q: What type of training does Muse Spark 1.1 provide?
Muse Spark 1.1 provides training in the form of documentation.
Q: Does Muse Spark 1.1 offer a free trial?
Yes, Muse Spark 1.1 offers a free trial.
Q: How much does Muse Spark 1.1 cost?
Pricing for Muse Spark 1.1 starts at $1.25 per 1M tokens (input).

Muse Spark 1.1 Product Features

Muse Spark 1.1 Verified User Reviews

Write a Review
  • A Muse Spark 1.1 User
    Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 26 - 99
    Design 5 out of 5 stars
    Ease 5 out of 5 stars
    Features 4 out of 5 stars
    Pricing 5 out of 5 stars
    Support 5 out of 5 stars
    Probability You Would Recommend? 9 out of 10

    "Muse Spark 1.1 review"

    5 out of 5 stars Posted 2026-07-09

    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.

    Overall: Five stars from me. As a developer and AI agent builder, Muse Spark 1.1 feels like a serious step forward for Meta and one of the more exciting models to build with right now. The combination of coding ability, long-context reasoning, tool use, computer use, and multimodal understanding makes it feel purpose-built for the next wave of AI agents rather than just another chatbot model.

    Read More...
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