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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

Qwen3.8-Omni-Flash represents an innovative omnimodal model crafted to enhance the capabilities of agents in practical productivity environments, evolving from simple comprehension of multimodal materials to executing tasks, utilizing tools, and engaging in creative endeavors. This model is built on the advanced Qwen3.8-Flash-Next architecture and can process text, images, audio, and video inputs with an impressive context window of up to 1 million tokens while ensuring robust performance in text-based tasks. It goes beyond mere coding and knowledge work, also enriching workflows related to audio and video by facilitating activities such as video editing, the creation of music videos, film commentary, audiovisual summarization, and live conversations. Notably, the model enhances the understanding of long-form audio and video through structured descriptions, effective evidence collection by agents, comprehension of meetings, and in-depth research focused on video content. Users have the flexibility to define parameters such as subject, time frame, detail level, and desired output format for video evaluations, paving the way for detailed overviews and tailored analyses. This versatility makes it a powerful tool for both professionals and creatives looking to maximize their productivity across various multimedia platforms.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hermes Agent
Model Context Protocol (MCP)
Odysseus
OpenClaw
Python
Continue
Facebook
Facebook Messenger
Go
HTML
Meta AI
Muse Video
OfoxAI
PowerShell
R
Rust
SQL
Scala
Swift
WhatsApp

Integrations

Hermes Agent
Model Context Protocol (MCP)
Odysseus
OpenClaw
Python
Continue
Facebook
Facebook Messenger
Go
HTML
Meta AI
Muse Video
OfoxAI
PowerShell
R
Rust
SQL
Scala
Swift
WhatsApp

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

No price information available.
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

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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