Llama vs. Muse Spark Open Comparison


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About Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.	About Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI developers interested in a powerful large language model	Audience AI developers, machine learning engineers, software engineers, AI researchers, enterprise development teams, and organizations seeking customizable open-weight multimodal models for local inference, autonomous agents, complex coding, and long-context AI applications
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos No images available	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing $0 Model weights are available at no charge under the Muse Model License, which has limited commercial-use terms. Hosted inference providers set their own usage prices. Free Version Supported Free Trial Not Supported
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	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros Meta finally opened up a genuinely frontier-level Muse model. The 1M-token context window and 42B active parameters make it strong enough for large repos, long agent sessions, multimodal work, and complex coding without feeling like a stripped-down open model. The local deployment story is also a huge deal. Being able to run something this capable on two M5 Ultra Mac Studios is impressive, especially for teams that want more control over data, infrastructure, and customization. I also like how much of the stack is open around it. Muse Spark Open works with MLX, vLLM, SGLang, TensorRT-LLM, Transformers, llama.cpp, and Unsloth, and Meta is making the weights available through Hugging Face, SageMaker, Google Cloud Model Garden, and Microsoft Foundry. Cons Even though it is technically desktop-capable, needing two M5 Ultra Mac Studios for the full local experience is still a serious setup, so most developers will probably use hosted inference instead.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Meta Founded: 2004 United States www.llama.com	Company Information Meta Founded: 2004 United States research.meta.ai/blog/muse-spark-open
Alternatives Gemini Google	Alternatives Gemini 4 Carbon Google
Mistral AI	GPT-6.1 Terra OpenAI
Alpaca Stanford Center for Research on Foundation Models (CRFM)	GPT-6.1 Sol OpenAI
Llama 3.3 Meta	Inkling Thinking Machines Lab
Llama 3.2 Meta View All	Muse Glimmer Meta View All
Categories AI Models Supported Embedding Models Supported Foundation Models Supported Generative AI Supported Large Language Models Supported Small Language Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported AI Receptionists Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported Open-Weight AI Models Supported

Integrations Aerogram Supported Agenta Supported Alumnium Supported Atomic Chat Supported Batteries Included Supported Chatbot Arena Supported Clore.ai Supported DataChain Supported Firecrawl Supported Gopher Supported Kong AI Gateway Supported NVIDIA Llama Nemotron Supported Ontosight.ai Supported Private Mind Supported PromptPal Supported PyMuPDF Supported RagmyAI Supported Snack Prompt Supported SpyderBot Supported kluster.ai Supported Show More Integrations View All 151 Integrations	Integrations Aerogram Not Supported Agenta Not Supported Alumnium Not Supported Atomic Chat Not Supported Batteries Included Not Supported Chatbot Arena Not Supported Clore.ai Not Supported DataChain Not Supported Firecrawl Not Supported Gopher Not Supported Kong AI Gateway Not Supported NVIDIA Llama Nemotron Not Supported Ontosight.ai Not Supported Private Mind Not Supported PromptPal Not Supported PyMuPDF Not Supported RagmyAI Not Supported Snack Prompt Not Supported SpyderBot Not Supported kluster.ai Not Supported Show More Integrations View All 9 Integrations
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