Composer 2.5 vs. Muse Spark Open Comparison


Composer 2.5 Cursor	Muse Spark Open Meta	+	+
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About Composer 2.5 is the latest AI coding model released by Cursor, offering major improvements in intelligence, collaboration, and long-task performance compared to Composer 2. The model is designed to follow complex instructions more accurately while providing a smoother and more natural user experience during coding sessions. Cursor enhanced Composer 2.5 through larger-scale training, more advanced reinforcement learning environments, and improved behavioral tuning focused on communication and effort calibration. The model uses targeted reinforcement learning with textual feedback to correct specific mistakes during training, helping it avoid issues like invalid tool calls or poor coding behavior. Composer 2.5 was also trained using significantly more synthetic coding tasks, enabling it to handle increasingly difficult programming challenges and real-world development scenarios.	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 Not 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 Software developers, engineering teams, AI researchers, and enterprise organizations looking for advanced AI-assisted coding and large-scale software development solutions	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 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 $0.50/M input $0.50/M input and $2.50/M output tokens 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 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Composer 2.5 feels like a very practical coding model because it is built for the place I actually use it: Cursor. It is fast, focused, and tuned for agentic coding work instead of trying to be a general-purpose chatbot that also happens to write code. The cost-performance balance is the biggest win. If a model can stay near the top of coding-agent rankings while being dramatically cheaper than heavier flagship models, that matters a lot for everyday development. I also like that it feels optimized for real Cursor workflows. It can help with multi-file edits, repo exploration, implementation, debugging, and agent-style tasks without making every run feel slow or expensive. Cons Composer 2.5 is still not the model I would blindly trust for every hard architecture decision or risky production change. I would still review diffs, run tests, and use stronger models when the task needs deeper reasoning. It is also tied closely to Cursor, which is great if you already live there, but less ideal if you want a model you can use everywhere with the same workflow.	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 Cursor Founded: 2022 United States cursor.com	Company Information Meta Founded: 2004 United States research.meta.ai/blog/muse-spark-open
Alternatives Claude Code Anthropic	Alternatives Gemini 4 Argon Google
Gemini 4 Argon Google	Claude Sonnet 5.5 Anthropic
Claude Sonnet 5.5 Anthropic	Claude Fable 5.1 Anthropic
Composer 1.5 Cursor	Muse Glimmer Meta
Composer 1 Cursor View All	Laguna XS 2.1 Poolside View All
Categories AI Coding Models Supported AI 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

Integrations Baseten Not Supported Bash Supported CSS Supported Dart Supported Fireworks AI Not Supported Groq Not Supported HTML Supported Java Supported Modal Not Supported Objective-C Supported OpenRouter Not Supported PHP Supported Python Supported R Supported Rust Supported Scala Supported Together AI Not Supported XML Supported YAML Supported vLLM Not Supported Show More Integrations View All 30 Integrations	Integrations Baseten Supported Bash Not Supported CSS Not Supported Dart Not Supported Fireworks AI Supported Groq Supported HTML Not Supported Java Not Supported Modal Supported Objective-C Not Supported OpenRouter Supported PHP Not Supported Python Not Supported R Not Supported Rust Not Supported Scala Not Supported Together AI Supported XML Not Supported YAML Not Supported vLLM Supported Show More Integrations View All 9 Integrations
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