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Description

Muse Glimmer is an open-weights model featuring 30 billion parameters, developed by Meta Superintelligence Labs, and is fine-tuned for continuous local agent operations. Its compact design allows it to function on a standard Mac or PC equipped with a single consumer GPU, making it ideal for various tasks such as local agent management, function calling, programming, and LLM-as-a-judge evaluations without reliance on cloud services or internet connectivity. This innovative model integrates advanced capabilities such as long-horizon execution, accurate tool invocation, multimodal comprehension, extended memory for context, and effective instruction following. It is proficient in accomplishing end-to-end tasks as an agent, maintains the ability to engage in multi-step reasoning over lengthy processes, can recover gracefully from failed or unanticipated tool engagements, and interprets interleaved text and images using a specialized perception encoder designed for analyzing screenshots, graphs, and document files. Furthermore, Muse Glimmer is compatible with OpenClaw and other orchestration frameworks, allowing for adjustable reasoning efforts, and has been developed with a diverse dataset encompassing over 100 languages. The model's versatility ensures that it can adapt to various applications, thus enhancing its utility in different domains.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hermes Agent Yes 
Hugging Face Yes 
Ollama Yes 
OpenClaw Yes 
Alibaba Cloud No 
Alibaba Cloud Model Studio No 
Cherry Studio No 
ClinePass No 
Happy Shrimp 1.0 No 
Meta AI Yes 
Model Context Protocol (MCP) No 
ModelScope No 
Muse Code Yes 
Odysseus No 
OfoxAI No 
Python No 
Qwen No 
Qwen Code No 
QwenCloud No 
QwenWork No 

Integrations

Hermes Agent Yes 
Hugging Face Yes 
Ollama Yes 
OpenClaw Yes 
Alibaba Cloud Yes 
Alibaba Cloud Model Studio Yes 
Cherry Studio Yes 
ClinePass Yes 
Happy Shrimp 1.0 Yes 
Meta AI No 
Model Context Protocol (MCP) Yes 
ModelScope Yes 
Muse Code No 
Odysseus Yes 
OfoxAI Yes 
Python Yes 
Qwen Yes 
Qwen Code Yes 
QwenCloud Yes 
QwenWork Yes 

Pricing Details

Free
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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

Product Features

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