Ratings and Reviews 1 Rating

Ratings and Reviews 1 Rating

Total
ease
features
design

Alternatives to Consider

  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Numa Reviews & Ratings
    14 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • IONOS Cloud GPU Servers Reviews & Ratings
    45,340 Ratings
    Company Website
  • Bigly Sales Reviews & Ratings
    7 Ratings
    Company Website
  • Intermedia Unite Reviews & Ratings
    1,634 Ratings
    Company Website
  • Nexo Reviews & Ratings
    18,780 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website

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 Claude Opus 5.5?

Claude Opus 5.5 is Anthropic’s high-capability AI model for advanced coding, research, business work, computer use, and extended agentic tasks. It is designed to operate effectively on large and complex workloads that require planning, sustained context, tool use, verification, and multiple execution steps. In software engineering, Opus 5.5 can be used for codebase-wide migrations, debugging, audits, optimization, code review, and other long-running development projects. The model also supports knowledge-intensive work such as financial analysis, legal research, spreadsheet creation, executive presentations, data collection, and professional reporting. Anthropic reports that Opus 5.5 improves both task efficiency and serving efficiency compared with Opus 5, including lower token usage, faster output, and reduced cost on typical workloads. Its writing and communication behavior has been updated to prioritize important information, reduce unclear phrasing, and better follow requested style constraints. Opus 5.5 also includes stronger safeguards for autonomous and tool-using scenarios, including action screening, improved prompt-injection resistance, sandbox support, and vulnerability detection during code review. Anthropic applies additional safeguards to cybersecurity, biology, and model-distillation use cases, with expanded access programs available to verified organizations in certain sensitive fields. The model supports zero data retention and includes watermarking measures intended to support compliance requirements such as the EU AI Act. Developers can access Opus 5.5 through the Claude Platform using the claude-opus-5-5 model, while Claude Code and other Anthropic products can use it for interactive and agentic work. Claude Opus 5.5 is also available through Amazon Web Services, Google Cloud, and Microsoft Azure for organizations that prefer to deploy through major cloud platforms.

Media

Media

Integrations Supported

Nebius

Integrations Supported

Aider
Amp
App0
C++
CLion
Cheaper Inference
Claude Design
Devin
Factory Droid
Flowise
MyClaw
Objective-C
PhpStorm
Replit
Ruby
Simtheory
Verdent
Voyager
XML

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

$4 per 1M tokens (input)
$4 per million input tokens and $20 per million output tokens.

Cache reads, which account for most costs in agentic and coding workloads, are priced at just $0.20 per million tokens which is 60% cheaper than Opus 5. Opus 5.5 also delivers output over 30% faster than its predecessor.

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

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

Anthropic

Date Founded

2021

Company Location

United States

Company Website

claude.ai

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

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Popular Alternatives

Popular Alternatives