# Muse Wonder Benchmark Scores & Performance

> Muse Wonder by Meta scores 70.44/100 overall, ranking #16 out of 891 AI models.

Canonical page: https://benchlm.ai/models/muse-wonder

Last updated: October 12, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Meta |
| Source Type | Proprietary |
| Reasoning Type | Reasoning |
| Context Window | 1M |
| Official model card | [Meta: Muse Wonder model card](https://research.meta.ai/static/muse-wonder-model-card) |
| Overall Score | 70.44/100 |
| Overall Rank | #16 of 891 |

## Family & Coverage

- Family: Muse Wonder
- Variant: base (1.0)
- Benchmarks covered: 21 of 626
- Sibling models: [Muse Wonder Full](/models/muse-wonder-full)
- 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) | 70.5% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [Finance Agent v2](/benchmarks/financeagentv2) | 56.6% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [Harvey LAB-AA v1.1](/benchmarks/harvey-lab-aa-v1-1) | 10.0% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [AA AutomationBench](/benchmarks/aaautomationbench) | 39.1% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [AA Terminal-Bench 4.0](/benchmarks/terminal-bench-4) | 52.0% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [GDPval-AA](/benchmarks/gdpvalaanormalized) | 63.5% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-wonder) |
| [AA Briefcase](/benchmarks/aabriefcaseelo) | 1659 | [Artificial Analysis: aa-briefcase leaderboard](https://artificialanalysis.ai/evaluations/aa-briefcase) |
| [GDPval-AA](/benchmarks/gdpvalaa) | 1770 | [Artificial Analysis: gdpval-aa leaderboard](https://artificialanalysis.ai/evaluations/gdpval-aa) |
| [GDP.pdf](/benchmarks/aagdppdf) | 30.6% | [Artificial Analysis: gdp-pdf leaderboard](https://artificialanalysis.ai/evaluations/gdp-pdf) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [DeepSWE](/benchmarks/deepswe) | 78.8% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [ProgramBench](/benchmarks/programbench) | 50.0% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [sweMarathon](/benchmarks/swemarathon) | 53.1% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [AA-SciCode](/benchmarks/aascicode) | 60.3% | [Artificial Analysis: scicode leaderboard](https://artificialanalysis.ai/evaluations/scicode) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-LCR](/benchmarks/lcr) | 80.7% | [Artificial Analysis: artificial-analysis-long-context-reasoning leaderboard](https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning) |
| [CritPt](/benchmarks/critpt) | 28.3% | [Artificial Analysis: critpt leaderboard](https://artificialanalysis.ai/evaluations/critpt) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [HealthBench Professional](/benchmarks/healthbenchprofessional) | 60.5% | [Meta: Muse Wonder model card, October 12, 2026](https://research.meta.ai/static/muse-wonder-model-card) |
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 52.4% | [Artificial Analysis: artificial-analysis-intelligence-index leaderboard](https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index) |
| [AA-HLE](/benchmarks/aahle) | 50.1% | [Artificial Analysis: humanitys-last-exam leaderboard](https://artificialanalysis.ai/evaluations/humanitys-last-exam) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 25.5% | [Artificial Analysis: omniscience leaderboard](https://artificialanalysis.ai/evaluations/omniscience) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 41.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-wonder) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 26.5% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-wonder) |

## Other Meta Models

- [Muse Wonder Full](/models/muse-wonder-full) - Score: 73.81
- [Muse Spark 1.1](/models/muse-spark-1-1) - Score: 65.57
- [Muse Spark 1.2](/models/muse-spark-1-2) - Score: 65.42
- [Muse Spark](/models/muse-spark) - Score: 59.11
- [Muse Glimmer 30B](/models/muse-glimmer-30b) - Score: 41.7
- [Llama 4 Scout](/models/llama-4-scout) - Score: 29.11
- [Llama 3.1 405B](/models/llama-3-1-405b) - Score: 28.09
- [Llama 4 Maverick](/models/llama-4-maverick) - Score: 22.18
- [Llama 3 70B](/models/llama-3-70b) - Score: 21.27
- [Muse Spark 1.3](/models/muse-spark-1-3) - Score: not computed
- [Llama 4 Behemoth](/models/llama-4-behemoth) - Score: not computed
- [Muse Voice Transcribe](/models/muse-voice-transcribe) - Score: not computed