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Muse Spark Open

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Muse Spark Open is Meta's open-weight Muse model, released October 15, 2026 under the Muse Model License, which carries limited commercial terms.

Provider

Meta

Model family

Meta Muse

Open-weight multimodal MoE LLM

Cost tier

Spark Open

Status

Current

Release Oct 15, 2026

Technical specs

Inputs
text, image, audio, video
Outputs
text
License
Muse Model License (limited commercial terms)
Weights
meta-models/Muse-Spark-Open-816B-A42B, NVFP4 variant
Total Params
816B
Active Params
42B
Context tokens
1,000,000
Capabilities
  • Open weights on Hugging Face, including an NVFP4 variant
  • 816B total / 42B active Mixture-of-Experts
  • 1 million token context window
  • Text, image, audio, and video input

Why teams choose it

🧠

Complex reasoning

Useful for workflows that require structured thinking, multi-step logic, and deeper analysis than lightweight models provide.

📎

Long-context analysis

Helps teams summarize, compare, and extract insights from long documents without losing important nuance.

⚙️

Meta roadmap vigilance

Use published model pages—not stale marketing blurbs—for modalities, quotas, pricing, and policy; schedule revalidation tied to vendor release notes.

✍️

Cost-efficient routing

Useful as part of a routing stack where cheap models handle drafts and confirmations and this tier handles genuinely hard passages.

Tradeoffs to know

  • The Muse Model License has limited commercial terms; read it before production use.
  • Self-hosting an 816B MoE needs multi-GPU infrastructure even with NVFP4.
  • Not the same checkpoint as hosted muse-spark-1.3.

Benchmarks

No independent or vendor benchmark scores in this catalog entry.

See comparisons →


Meta Muse family lineup


Related models

Muse Spark Open FAQ

What is Muse Spark Open?

Muse Spark Open is Meta's open-weight Muse model, released October 15, 2026 under the Muse Model License, which carries limited commercial terms. It is a Mixture-of-Experts model with 816 billion total and 42 billion active parameters, a 1 million token context window, and text, image, audio, and video input with text output. Weights are on Hugging Face as meta-models/Muse-Spark-Open-816B-A42B, with an NVFP4 quantized variant. It is a separate open release, not the hosted Muse Spark 1.3 API model.

When does Muse Spark Open fit best?

Self-hosted multimodal assistants with long context

What should teams watch out for with Muse Spark Open?

The Muse Model License has limited commercial terms; read it before production use.

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