Muse Spark Open is Meta Superintelligence Labs' open-weight multimodal Mixture-of-Experts model designed for advanced coding, reasoning, and autonomous agent workflows. It contains 816B total parameters with 42B activated per token, using 256 experts and a dedicated 1.8B-parameter perception encoder. The model natively processes text, images, audio, and video and generates text, with a 1M-token context window for extended tasks. It supports more than 100 languages and configurable low, medium, high, and xhigh reasoning effort. Its capabilities include multi-step planning, tool calling, error recovery, software engineering, multimodal analysis, synthetic data generation, and model evaluation. Additional safety post-training improves resistance to misuse in standalone deployments. Released under Meta's Muse Model License, it supports BF16 and NVFP4 weights and deployment through vLLM, SGLang, TensorRT-LLM, and other inference frameworks.

Features

  • 816B total parameters with 42B activated per token
  • 256-expert Mixture-of-Experts Transformer architecture
  • Dedicated 1.8B-parameter multimodal perception encoder
  • Native text, image, audio, and video understanding
  • 1M-token context window for extended agent workflows
  • Low, medium, high, and xhigh configurable reasoning effort
  • Advanced coding, tool use, planning, and failure recovery
  • BF16 and NVFP4 weights with vLLM, SGLang, and TensorRT-LLM support

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