+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google AI Studio
    40 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • Google Cloud Platform
    61,049 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website
  • Admin By Request Endpoint Privilege Management
    101 Ratings
    Visit Website
  • 800.com
    2,381 Ratings
    Visit Website
  • Superfiliate
    49 Ratings
    Visit Website

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

Step 5 Preview is StepFun’s flagship model for agentic work, designed for real-world tasks across software engineering and professional knowledge work, with particular strength in finance. It natively supports text, image, and video input and provides a 1M-token context window, enabling tasks that require large amounts of information, tool calls, and continuous progress toward a deliverable. The model can analyze long documents, multiple source materials, and conversation history for cross-document question answering and research organization. For programming and software engineering, it works across multiple languages and can support troubleshooting, code changes, verification, and test creation. Its multi-step agent capabilities let applications provide tools for retrieving information, processing documents, conducting deep research, and producing analytical reports. Multimodal understanding combines images, video, and text for chart analysis, screenshot question answering, etc.

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

Developers, engineering teams, and knowledge-work organizations wanting to build multimodal AI agents for coding, research, analysis, and other complex multi-step tasks

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

$0.04 per input
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

StepFun
Founded: 2023
United States
platform.stepfun.ai/docs/en/guides/models/step-5-preview

Alternatives

GPT-5.6 Sol

GPT-5.6 Sol

OpenAI

Alternatives

No Alternatives
Grok 4.6

Grok 4.6

SpaceXAI
Claude Opus 5

Claude Opus 5

Anthropic

Categories

Categories

Integrations

Hermes Agent
Model Context Protocol (MCP)
Odysseus
OpenClaw
Python
Alibaba Cloud Model Studio
CSS
Cline
Codex CLI
Facebook
Go
Happy Shrimp 1.0
Lua
Novita AI
OpenCode
Qwen Code
Qwen Studio
SQL
Scala
TypeScript

Integrations

Hermes Agent
Model Context Protocol (MCP)
Odysseus
OpenClaw
Python
Alibaba Cloud Model Studio
CSS
Cline
Codex CLI
Facebook
Go
Happy Shrimp 1.0
Lua
Novita AI
OpenCode
Qwen Code
Qwen Studio
SQL
Scala
TypeScript
Claim Muse Spark 1.1 and update features and information
Claim Muse Spark 1.1 and update features and information
Claim Step 5 Preview and update features and information
Claim Step 5 Preview and update features and information