# Muse Spark Open Benchmark Scores & Performance

> Muse Spark Open by Meta scores 62.66/100 overall, ranking #45 out of 950 AI models.

Canonical page: https://benchlm.ai/models/muse-spark-open

Last updated: October 15, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Meta |
| Source Type | Open Weight |
| Reasoning Type | Reasoning |
| Context Window | 1M |
| Official model card | [Meta Hugging Face model card](https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B) |
| Overall Score | 62.66/100 |
| Overall Rank | #45 of 950 |

## Family & Coverage

- Family: Muse Spark Open
- Variant: base
- Benchmarks covered: 26 of 638
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [JobBench](/benchmarks/jobbench) | 61.8% | [Meta AI Research: Muse Spark Open scorecard and evaluation methodology](https://research.meta.ai/blog/muse-spark-open) |
| [MCP Atlas](/benchmarks/mcpatlas) | 89.2% | [Meta AI Research: Muse Spark Open scorecard and evaluation methodology](https://research.meta.ai/blog/muse-spark-open) |
| [HLE w/ tools](/benchmarks/hlewithtools) | 61.0% | [Meta Muse Spark Open model card](https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B) |
| [Toolathlon-Verified](/benchmarks/toolathlonverified) | 72.8% | [Meta Muse Spark Open model card](https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B) |
| [GDPval-AA](/benchmarks/gdpvalaanormalized) | 45.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-open) |
| [AA Briefcase](/benchmarks/aabriefcaseelo) | 1280 | [Artificial Analysis: aa-briefcase leaderboard](https://artificialanalysis.ai/evaluations/aa-briefcase) |
| [AA AutomationBench](/benchmarks/aaautomationbench) | 49.7% | [Artificial Analysis: automationbench-aa leaderboard](https://artificialanalysis.ai/evaluations/automationbench-aa) |
| [AA Terminal-Bench 4.0](/benchmarks/terminal-bench-4) | 8.1% | [Artificial Analysis: terminalbench-v4-0 leaderboard](https://artificialanalysis.ai/evaluations/terminalbench-v4-0) |
| [GDP.pdf](/benchmarks/aagdppdf) | 18.6% | [Artificial Analysis: gdp-pdf leaderboard](https://artificialanalysis.ai/evaluations/gdp-pdf) |
| [aaTerminalBench21](/benchmarks/terminalbench21) | 76.4% | [Artificial Analysis: terminalbench-v2-1 leaderboard](https://artificialanalysis.ai/evaluations/terminalbench-v2-1) |
| [GDPval-AA](/benchmarks/gdpvalaa) | 1401 | [Artificial Analysis: gdpval-aa leaderboard](https://artificialanalysis.ai/evaluations/gdpval-aa) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [DeepSWE](/benchmarks/deepswe) | 60.0% | [Meta AI Research: Muse Spark Open scorecard and evaluation methodology](https://research.meta.ai/blog/muse-spark-open) |
| [SWE-Atlas Codebase QnA](/benchmarks/swe-atlas-codebase-qna) | 58.0% | [Meta Muse Spark Open model card](https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B) |
| [AA-SciCode](/benchmarks/aascicode) | 58.4% | [Artificial Analysis: scicode leaderboard](https://artificialanalysis.ai/evaluations/scicode) |

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [ZeroBench](/benchmarks/zerobench) | 50.0% | [Meta AI Research: Muse Spark Open scorecard and evaluation methodology](https://research.meta.ai/blog/muse-spark-open) |
| [BabyVision](/benchmarks/babyvision) | 80.2% | [Meta AI Research: Muse Spark Open scorecard and evaluation methodology](https://research.meta.ai/blog/muse-spark-open) |
| [SimpleVQA](/benchmarks/simplevqa) | 73.6% | [Meta AI Research: Muse Spark Open scorecard and evaluation methodology](https://research.meta.ai/blog/muse-spark-open) |
| [AA-MMMU-Pro](/benchmarks/mmmu-pro) | 80.9% | [Artificial Analysis: mmmu-pro leaderboard](https://artificialanalysis.ai/evaluations/mmmu-pro) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-LCR](/benchmarks/lcr) | 78.3% | [Artificial Analysis: artificial-analysis-long-context-reasoning leaderboard](https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning) |
| [CritPt](/benchmarks/critpt) | 14.9% | [Artificial Analysis: critpt leaderboard](https://artificialanalysis.ai/evaluations/critpt) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-HLE](/benchmarks/aahle) | 43.9% | [Artificial Analysis: humanitys-last-exam leaderboard](https://artificialanalysis.ai/evaluations/humanitys-last-exam) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 39.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-open) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 24.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-open) |
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 38.9% | [Artificial Analysis: artificial-analysis-intelligence-index leaderboard](https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 89.0% | [Artificial Analysis: gpqa-diamond leaderboard](https://artificialanalysis.ai/evaluations/gpqa-diamond) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 24.7% | [Artificial Analysis: omniscience leaderboard](https://artificialanalysis.ai/evaluations/omniscience) |

## Other Meta Models

- [Muse Wonder Full](/models/muse-wonder-full) - Score: 74.27
- [Muse Wonder](/models/muse-wonder) - Score: 71.16
- [Muse Spark 1.1](/models/muse-spark-1-1) - Score: 65.99
- [Muse Spark 1.2](/models/muse-spark-1-2) - Score: 65.85
- [Muse Spark](/models/muse-spark) - Score: 60.47
- [Muse Glimmer 30B](/models/muse-glimmer-30b) - Score: 41.25
- [Llama 3.1 405B](/models/llama-3-1-405b) - Score: 28.22
- [Llama 4 Scout](/models/llama-4-scout) - Score: 28.21
- [Llama 4 Maverick](/models/llama-4-maverick) - Score: 21.63
- [Llama 3 70B](/models/llama-3-70b) - Score: 21.34
- [Muse Spark 1.3](/models/muse-spark-1-3) - Score: not computed
- [Llama 3.3 70B](/models/llama-3-3-70b) - Score: not computed
- [Llama 3.1 70B](/models/llama-3-1-70b) - Score: not computed
- [Llama 3.1 8B](/models/llama-3-1-8b) - Score: not computed
- [Llama 4 Behemoth](/models/llama-4-behemoth) - Score: not computed
- [Muse Voice Transcribe](/models/muse-voice-transcribe) - Score: not computed