LLM
Muse Spark 1.1
Muse Spark 1.1; top entry on Scale SEAL SWE-Bench Pro public leaderboard (developer: Meta).
Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released9 Jul 2026
Opennessproprietary
Runs onnot in the notes
Statusactive
Benchmark Results
maintainer-runindependent
Arena Vision leaderboardhuman preference arena
independent
1,280 ±7
1,2701,2901,310
Score in Elo; the axis starts at 1,270, as Elo has no zero. Higher is better.
rank 28 of 165, Arena Vision overall, style control default, 165 models
SWE-bench Procoding
Scale SEAL public, mini-swe-agent, +/-3.10maintainer-run
61.5 ±3.10
050100
Score in %. Higher is better.
rank 1, Scale SEAL SWE-Bench Pro public
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 1.2 is a child (successor)medium confidencenotesMuse Spark is the parent (successor)medium confidencenotesWhere 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, 4 models. Confidence and evidence are the notes' own.
Identity
- Developer
- Meta
- Family
- Muse Spark (family)
- Released
- 9 Jul 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.
Links
DeveloperMetabig tech, USA
Metabig tech, USAModelMuse Spark 1.1Meta, LLM
Muse Spark 1.1Meta, LLMUse CasesIndustrial Copilots and Maintenance AssistantsIndustrialClinical LLM (Frontier Proprietary)HealthcarePharma Documents, Regulatory and Life-Science R&DHealthcareAmbient Clinical ScribingHealthcare+2 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026+39 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026+39 moreDeployments of these use cases; none names this model.Models 3
Organisations 1
Sources
- AI at Meta Blog ai.meta.com https://ai.meta.com/blog/
- SWE-Bench Pro labs.scale.com https://labs.scale.com/leaderboard/swe_bench_pro_public
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Muse Spark 1.1", https://aurion.semai.id/models/meta-muse-spark-1-1/, records of October 2026.