+
+

Related Products

  • LTX
    182 Ratings
    Visit Website
  • Squaretalk
    294 Ratings
    Visit Website
  • CallTools
    625 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • NeuBird
    2 Ratings
    Visit Website
  • Pensero
    2 Ratings
    Visit Website
  • Phonexa
    238 Ratings
    Visit Website
  • Docket
    59 Ratings
    Visit Website
  • Assembled
    272 Ratings
    Visit Website
  • BoldTrail
    2,107 Ratings
    Visit Website

About

Muse Glimmer is a 30-billion-parameter open-weights model from Meta Superintelligence Labs, optimized for always-on local agent workflows. Small enough to run on a Mac or PC with a single consumer GPU, it is designed for local agents, function calling, coding, and LLM-as-a-judge evaluation without depending on cloud infrastructure or network access. The model combines long-horizon execution, precise tool calling, multimodal understanding, long-context memory, and instruction following. It can complete end-to-end agentic tasks, sustain multi-step reasoning across extended workflows, recover from failed or unexpected tool calls, and accept interleaved text and images through a dedicated perception encoder for interpreting screenshots, charts, and documents. Muse Glimmer works with OpenClaw and other agentic orchestration patterns, supports controllable reasoning effort, and is trained on data from more than 100 languages.

About

Trinity Large Thinking is a frontier open source reasoning model developed by Arcee AI, designed specifically for complex, multi-step problem solving and autonomous agent workflows that require long-horizon planning and tool use. Built on a sparse Mixture-of-Experts architecture with roughly 400 billion total parameters but only about 13 billion active per token, the model achieves high efficiency while maintaining strong reasoning performance across tasks such as mathematical problem solving, code generation, and multi-step analysis. It introduces extended chain-of-thought reasoning capabilities, allowing the model to generate intermediate “thinking traces” before producing final answers, which improves accuracy and reliability in complex scenarios. Trinity Large Thinking supports a very large context window of up to 262K tokens, enabling it to process long documents, maintain state across extended interactions, and operate effectively in continuous agent loops.

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

Developers building private, always-on AI agents that need strong reasoning, tool use, and multimodal capabilities on local hardware

Audience

Developers and enterprises building autonomous AI agents that need a high-performance, open-source reasoning model for complex, multi-step workflows

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

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 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 Glimmer is exciting because it brings serious AI capability closer to the device. An open-weight model that can run on a laptop or desktop is a big deal for developers, builders, and AI power users who want more control. I like that it is focused on agentic tasks, not just basic chat. If it can handle reasoning, coding help, workflow automation, and local experimentation well, it could be really useful for private projects and always-on agents. The open-weight angle is the biggest win. Being able to download, modify, and run the model locally makes Muse Glimmer feel much more flexible than a closed API-only model.

Cons

  • I would still want to test it hard before trusting it for serious work. Smaller local models can be impressive, but they still need to prove themselves on coding, tool use, long tasks, and messy real-world prompts. Running locally also means the experience depends on your hardware. Even if it works on consumer devices, performance, speed, and setup may vary a lot.

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

Arcee AI
Founded: 2023
United States
www.arcee.ai/blog/trinity-large-thinking

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI

Alternatives

Kimi K2 Thinking

Kimi K2 Thinking

Moonshot AI
GLM-5.1

GLM-5.1

Z.ai
LongCat-2.0

LongCat-2.0

LongCat

Categories

Categories

Integrations

OpenClaw
Claude Fable 5
Claude Mythos 5
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 4.8
Claude Opus 5
ExecuTorch
Hermes Agent
Hugging Face
LM Studio
Meta AI
Muse Code
Ollama
OpenCode
OpenRouter
Unsloth
Vercel AI Gateway
Visual Studio Code

Integrations

OpenClaw
Claude Fable 5
Claude Mythos 5
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 4.8
Claude Opus 5
ExecuTorch
Hermes Agent
Hugging Face
LM Studio
Meta AI
Muse Code
Ollama
OpenCode
OpenRouter
Unsloth
Vercel AI Gateway
Visual Studio Code
Claim Muse Glimmer and update features and information
Claim Muse Glimmer and update features and information
Claim Trinity-Large-Thinking and update features and information
Claim Trinity-Large-Thinking and update features and information