Code Llama vs. Muse Spark Open Comparison


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About Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.	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 Users interested in a powerful, free, open source large language model for coding	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 View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version 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 ai.meta.com/blog/code-llama-large-language-model-coding/	Company Information Meta Founded: 2004 United States research.meta.ai/blog/muse-spark-open
Alternatives GitHub Copilot GitHub	Alternatives Gemini 4 Carbon Google
CodeGemma Google	GPT-6.1 Terra OpenAI
CodeQwen Alibaba	GPT-6.1 Sol OpenAI
Llama 2 Meta	Inkling Thinking Machines Lab
Llama 3 Meta View All	Muse Glimmer Meta View All
Categories AI Code Generators Supported AI Code Refactoring Supported AI Coding Assistants Supported AI Coding Models Supported AI Models 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 1min.AI Supported BLACKBOX AI Supported CodeQwen Supported Deep Infra Supported Fireworks AI Not Supported Groq Not Supported Hugging Face Not Supported IONOS Cloud AI Model Hub Supported Llama Supported Llama 2 Supported Llama 3 Supported Llama 3.2 Supported Meta AI Supported Nebius Not Supported Ollama Supported OpenRouter Not Supported Prefactor Supported Tabby Supported Together AI Not Supported vLLM Not Supported Show More Integrations View All 16 Integrations	Integrations 1min.AI Not Supported BLACKBOX AI Not Supported CodeQwen Not Supported Deep Infra Not Supported Fireworks AI Supported Groq Supported Hugging Face Supported IONOS Cloud AI Model Hub Not Supported Llama Not Supported Llama 2 Not Supported Llama 3 Not Supported Llama 3.2 Not Supported Meta AI Not Supported Nebius Supported Ollama Not Supported OpenRouter Supported Prefactor Not Supported Tabby Not Supported Together AI Supported vLLM Supported Show More Integrations View All 9 Integrations
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