Project AURIONAI Use-Cases Research & Innovation
LLM

Muse Spark

Meta model served commercially without weights.

Meta
Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released8 Apr 2026
Opennessproprietary
Runs onnot in the notes
Statusactive

Benchmark Results

independent
Arena Vision leaderboardhuman preference arena
muse-sparkindependent
1,294 ±9
1,2701,2901,310

Score in Elo; the axis starts at 1,270, as Elo has no zero. Higher is better.

rank 9 of 165, Arena Vision overall, style control default, 165 models9 Oct 2026 arena.ai
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

Lineage

successor
Muse Spark 1.1 to Muse Spark 1.2: successor, medium confidenceMuse Spark to Muse Spark 1.1: successor, medium confidenceMuse SparkMuse SparkMeta, Apr 2026Muse Spark 1.1Muse Spark 1.1Meta, Jul 2026Muse Spark 1.2Muse Spark 1.2Meta
MetaMuse Spark 1.1 is a child (successor)medium confidencenotes
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 3 models. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Meta
Family
Muse Spark (family)
Released
8 Apr 2026 sourcesannouncement page
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
not in the notes
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
proprietary
Licence
Proprietary sources
Access routes
API
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Industry Use Cases

No industry use case links this model.

Sources

  1. AI at Meta Blog ai.meta.com https://ai.meta.com/blog/
  2. Vision Arena: VLM Leaderboard & Best Vision Models arena.ai https://arena.ai/leaderboard/chat/vision
  3. Open-Source LLMs 2026: Which Are Actually Open-Licensed codersera.com https://codersera.com/blog/open-source-llms-landscape-2026/

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Muse Spark", https://aurion.semai.id/models/meta-muse-spark/, records of October 2026.