Muse Spark Open
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What is Muse Spark Open?
Muse Spark Open is a large-scale open-weight artificial intelligence model developed by Meta for multimodal understanding, software engineering, autonomous agents, and long-horizon reasoning. Released in October 2026, the model provides downloadable weights that allow developers to deploy and customize it outside Meta's hosted AI services. It uses a mixture-of-experts architecture containing 816 billion total parameters, with approximately 42 billion parameters activated during inference. Its one-million-token context window supports processing extensive documents, large software repositories, and lengthy sequences of instructions and interactions. The model is designed for complex coding workflows involving source code analysis, debugging, feature implementation, application development, and software testing. Its multimodal capabilities enable AI agents to interpret visual information and combine that understanding with reasoning and automated computer interactions. Meta demonstrated the model performing local software development tasks and controlling DaVinci Resolve to analyze video footage and prepare edited content. Muse Spark Open supports on-device deployment using two Apple M5 Ultra Mac Studio computers running the MLX framework, with additional compatibility across AMD, Intel, and NVIDIA hardware. Supported inference frameworks include SGLang, vLLM, TensorRT-LLM, Hugging Face Transformers, llama.cpp, and Unsloth, with optimized GPU kernels for improved processing performance. Developers can customize the model using PyTorch and TorchTitan to adapt its behavior to specialized tasks, organizational requirements, and application workflows. Muse Spark Open is distributed under the Muse Model License with limited commercial terms and is available through Hugging Face, Amazon SageMaker AI, Google Cloud Model Garden, Microsoft Foundry Models, and several hosted API providers.
What is Magistral?
Magistral marks the first language model family launched by Mistral AI, focusing on enhanced reasoning abilities and available in two distinct versions: Magistral Small, which is a 24 billion parameter model with open weights under the Apache 2.0 license and can be found on Hugging Face, and Magistral Medium, a more advanced version designed for enterprise use, accessible through Mistral's API, the Le Chat platform, and several leading cloud marketplaces. Tailored for specific sectors, this model excels at transparent, multilingual reasoning across a variety of tasks, including mathematics, physics, structured calculations, programmatic logic, decision trees, and rule-based systems, producing outputs that maintain a coherent thought process in the language preferred by the user, enabling easy tracking and validation of results. The launch of this model signifies a notable shift towards compact yet highly efficient AI reasoning capabilities that are easily interpretable. Presently, Magistral Medium is available in preview on platforms such as Le Chat, the API, SageMaker, WatsonX, Azure AI, and Google Cloud Marketplace. Its architecture is specifically designed for general-purpose tasks that require prolonged cognitive engagement and enhanced precision in comparison to conventional non-reasoning language models. The arrival of Magistral is a landmark achievement that showcases the ongoing evolution towards more sophisticated reasoning in artificial intelligence applications, setting new standards for performance and usability. As more organizations explore these capabilities, the potential impact of Magistral on various industries could be profound.
Integrations Supported
Baseten
Fireworks AI
Groq
Hugging Face
Modal
Integrations Supported
Amazon SageMaker
Editee
Google Cloud Marketplace
IBM watsonx
Microsoft Foundry
API Availability
API Availability
Has API
Pricing Information
$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
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
SaaS
Customer Service / Support
Not specified
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
On-Site Training
Company Facts
Organization Name
Meta
Date Founded
2004
Company Location
United States
Company Website
research.meta.ai/blog/muse-spark-open
Company Facts
Organization Name
Mistral AI
Date Founded
2023
Company Location
France
Company Website
mistral.ai/news/magistral
Categories and Features
AI Coding Models
Not specified
AI Models
Not specified
AI Reasoning Models
Not specified
AI Receptionists
Not specified
Foundation Models
Not specified
Large Language Models
Not specified
Multimodal Models
Not specified
Open-Weight AI Models
Not specified