# Muse Ember Benchmark Scores & Performance

> Muse Ember by Meta scores 56.24/100 overall, ranking #64 out of 1020 AI models.

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

Last updated: November 9, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Meta |
| Source Type | Proprietary |
| Reasoning Type | Reasoning |
| Context Window | 1M |
| Official model card | [Meta: Muse Ember model page](https://developer.meta.com/ai/models/muse-ember/) |
| Overall Score | 56.24/100 |
| Overall Rank | #64 of 1020 |

## Family & Coverage

- Family: Muse Ember
- Variant: base (1.0)
- Benchmarks covered: 14 of 788
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Terminal-Bench 4.0](/benchmarks/terminal-bench) | 40.90% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |
| [GDP.pdf](/benchmarks/aagdppdf) | 22.8% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |
| [OSWorld 2.1](/benchmarks/osworld-2-1) | 69.5% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |
| [AA AutomationBench (strict)](/benchmarks/aaautomationbenchstrict) | 37.8% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |
| [Agents' Last Exam (Linux)](/benchmarks/agentslastexamlinux) | 61.6% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |
| [AA Briefcase](/benchmarks/aabriefcaseelo) | 1521 | [Artificial Analysis: aa-briefcase leaderboard](https://artificialanalysis.ai/evaluations/aa-briefcase) |
| [AA AutomationBench](/benchmarks/aaautomationbench) | 68.1% | [Artificial Analysis: automationbench-aa leaderboard](https://artificialanalysis.ai/evaluations/automationbench-aa) |
| [AA Terminal-Bench 4.0](/benchmarks/terminal-bench) | 40.9% | [Artificial Analysis: terminalbench-v4-0 leaderboard](https://artificialanalysis.ai/evaluations/terminalbench-v4-0) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [FrontierCode 2.0 (AA)](/benchmarks/aafrontiercode2) | 27.2% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [PerceptionBench (tools)](/benchmarks/perceptionbenchtools) | 80.6% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 36.0% | [Meta AI Research: Introducing Muse Ember, November 9, 2026](https://research.meta.ai/blog/muse-ember) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 7.4% | [Artificial Analysis: omniscience leaderboard](https://artificialanalysis.ai/evaluations/omniscience) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 21.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-ember) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 17.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-ember) |

## Other Meta Models

- [Muse Wonder Full](/models/muse-wonder-full) - Score: 69.11
- [Muse Spark 1.1](/models/muse-spark-1-1) - Score: 65.46
- [Muse Spark 1.2](/models/muse-spark-1-2) - Score: 65.41
- [Muse Wonder](/models/muse-wonder) - Score: 63
- [Muse Spark](/models/muse-spark) - Score: 59.97
- [Muse Spark Open](/models/muse-spark-open) - Score: 51.08
- [Muse Glimmer 30B](/models/muse-glimmer-30b) - Score: 32.41
- [Llama 3.1 405B](/models/llama-3-1-405b) - Score: 28.11
- [Llama 4 Maverick](/models/llama-4-maverick) - Score: 27.87
- [Llama 4 Scout](/models/llama-4-scout) - Score: 26.96
- [Llama 3 70B](/models/llama-3-70b) - Score: 21.25
- [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