# Muse Spark 1.3 Benchmark Scores & Performance

> Muse Spark 1.3 by Meta has 43 source-displayable benchmark rows but no public overall score. It remains unranked.

Canonical page: https://benchlm.ai/models/muse-spark-1-3

Last updated: October 17, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Meta |
| Source Type | Proprietary |
| Reasoning Type | Reasoning |
| Context Window | 1M |
| Official model card | [Meta: Muse Spark 1.3 model page](https://developer.meta.com/ai/models/muse-spark/) |
| Overall Score | Not computed (unranked) |
| Overall Rank | Unranked |

## Family & Coverage

- Family: Muse Spark
- Variant: 1.3 (1.3)
- Benchmarks covered: 43 of 639
- Sibling models: [Muse Spark 1.1](/models/muse-spark-1-1), [Muse Spark 1.2](/models/muse-spark-1-2), [Muse Spark](/models/muse-spark)
- Related earlier model: [Muse Spark 1.2](/models/muse-spark-1-2)
- Coverage note: Published evidence is shown below; no public overall score is assigned.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Terminal-Bench 2.1](/benchmarks/terminalbench21) | 88.8% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [GDPval-AA](/benchmarks/gdpvalaa) | 1754 | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [JobBench](/benchmarks/jobbench) | 64.9% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [OSWorld 2.0](/benchmarks/osworld2) | 66.9% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [DeepSearchQA](/benchmarks/deepsearchqa) | 89.4% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [AutomationBench](/benchmarks/automationbench) | 49.4% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [GDPval-AA](/benchmarks/gdpvalaanormalized) | 59.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-1-3) |
| [AA Tau3 Banking](/benchmarks/aatau3banking) | 50.5% | [Artificial Analysis: tau3-banking leaderboard](https://artificialanalysis.ai/evaluations/tau3-banking) |
| [AA Briefcase](/benchmarks/aabriefcaseelo) | 1581 | [Artificial Analysis: aa-briefcase leaderboard](https://artificialanalysis.ai/evaluations/aa-briefcase) |
| [AA AutomationBench](/benchmarks/aaautomationbench) | 57.9% | [Artificial Analysis: automationbench-aa leaderboard](https://artificialanalysis.ai/evaluations/automationbench-aa) |
| [AA Agentic Index](/benchmarks/aaagenticindex) | 55.7% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-1-3) |
| [GDP.pdf](/benchmarks/aagdppdf) | 26.6% | [Artificial Analysis: gdp-pdf leaderboard](https://artificialanalysis.ai/evaluations/gdp-pdf) |
| [ApprenticeBench](/benchmarks/apprenticebench) | 19% | [NeoCognition: ApprenticeBench GUI results](https://neocognition.io/blog/apprentice-bench/#are-frontier-agents-ready-for-the-job) |
| [Terminal-Bench 2.1 (Vals)](/benchmarks/terminalbench21) | 72.3% | [Vals AI: Terminal-Bench 2.1 leaderboard](https://www.vals.ai/models/meta_muse_spark_1_3) |
| [AA ITBench](/benchmarks/aaitbench) | 33.2% | [Artificial Analysis: itbench-aa leaderboard](https://artificialanalysis.ai/evaluations/itbench-aa) |
| [aaTerminalBench21](/benchmarks/terminalbench21) | 84.3% | [Artificial Analysis: terminalbench-v2-1 leaderboard](https://artificialanalysis.ai/evaluations/terminalbench-v2-1) |
| [AA Terminal-Bench 4.0](/benchmarks/terminal-bench-4) | 33.3% | [Artificial Analysis: terminalbench-v4-0 leaderboard](https://artificialanalysis.ai/evaluations/terminalbench-v4-0) |
| [CWE-bench v1](/benchmarks/cwe-bench-v1) | 55.0% | [Collinear: CWE-bench v1 leaderboard](https://cwe-bench.com/) |
| [AA-AnalystAgent](/benchmarks/aaanalystagent) | 37.5% | [Artificial Analysis: aa-analyst-agent leaderboard](https://artificialanalysis.ai/evaluations/aa-analyst-agent) |
| [MazeBench](/benchmarks/mazebench) | 0% | [MazeBench AI leaderboard (ASCII mode)](https://mazebench.com/leaderboard/ai?mode=ascii&tools=0&metric=gems&run=run-2026-10-14T15-46-25-607Z-999359) |

## Coding Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Terminal-Bench 2.1](/benchmarks/terminalbench21) | 88.8% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [DeepSWE](/benchmarks/deepswe) | 75.4% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [SWE-Atlas Codebase QnA](/benchmarks/swe-atlas-codebase-qna) | 59.4% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [AA-SciCode](/benchmarks/aascicode) | 58.8% | [Artificial Analysis: scicode leaderboard](https://artificialanalysis.ai/evaluations/scicode) |
| [AA Coding Index](/benchmarks/aacodingindex) | 75.8% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-1-3) |
| [CursorBench 4.0](/benchmarks/cursorbench40) | 41.6% | [Cursor evals: CursorBench 4.0](https://cursor.com/cursorbench) |
| [Bug Hunt Bench](/benchmarks/bug-hunt-bench) | 32.2 fixes | [Bug Hunt Bench public data](https://bughunt.productcompass.pm/data/benchmark.json) |
| [FrontierSWE v2](/benchmarks/frontierswev2) | 25.8% | [Proximal: FrontierSWE v2 leaderboard](https://www.frontierswe.com/) |

## Multimodal & Grounded Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Design Arena Website](/benchmarks/designarenawebsite) | 1358 | [OpenRouter model benchmarks](https://openrouter.ai/meta/muse-spark-1.3/benchmarks) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [MRCR v2 256K-512K](/benchmarks/mrcr-v2-256k-512k) | 98.5% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [MRCR v2 512K-1M](/benchmarks/mrcr-v2-512k-1m) | 98.1% | [Meta AI Research: Muse Spark 1.3 launch scorecard](https://research.meta.ai/blog/introducing-muse-spark-1-3) |
| [AA-LCR](/benchmarks/lcr) | 83.0% | [Artificial Analysis: artificial-analysis-long-context-reasoning leaderboard](https://artificialanalysis.ai/evaluations/artificial-analysis-long-context-reasoning) |
| [CritPt](/benchmarks/critpt) | 24.9% | [Artificial Analysis: critpt leaderboard](https://artificialanalysis.ai/evaluations/critpt) |
| [MLCR-AA](/benchmarks/aamlcr) | 43.3% | [Artificial Analysis: mlcr-aa leaderboard](https://artificialanalysis.ai/evaluations/mlcr-aa) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 48.1% | [Artificial Analysis: artificial-analysis-intelligence-index leaderboard](https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 93.5% | [Artificial Analysis: gpqa-diamond leaderboard](https://artificialanalysis.ai/evaluations/gpqa-diamond) |
| [AA-HLE](/benchmarks/aahle) | 48.7% | [Artificial Analysis: humanitys-last-exam leaderboard](https://artificialanalysis.ai/evaluations/humanitys-last-exam) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | 25.0% | [Artificial Analysis: omniscience leaderboard](https://artificialanalysis.ai/evaluations/omniscience) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 43.6% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-1-3) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 32.9% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/muse-spark-1-3) |

## Instruction Following Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Gray Swan IPI (15 attempts)](/benchmarks/gray-swan-ipi) | 15.9% | [Google: Gemini 4 Argon launch chart](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/) |

## Mathematics Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [FrontierMath v2 (Tiers 1-3)](/benchmarks/frontiermathv2tiers13) | 74.035% | [Epoch AI FrontierMath v2 leaderboard](https://epoch.ai/benchmarks/frontiermath-tiers-1-3-v2) |
| [FrontierMath v2 (Tier 4)](/benchmarks/frontiermathv2tier4) | 46.341% | [Epoch AI FrontierMath v2 leaderboard](https://epoch.ai/benchmarks/frontiermath-tier-4-v2?view=graph&tab=leaderboard) |

## 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: 66.02
- [Muse Spark 1.2](/models/muse-spark-1-2) - Score: 65.84
- [Muse Spark Open](/models/muse-spark-open) - Score: 62.66
- [Muse Spark](/models/muse-spark) - Score: 60.47
- [Muse Glimmer 30B](/models/muse-glimmer-30b) - Score: 41.19
- [Llama 3.1 405B](/models/llama-3-1-405b) - Score: 28.21
- [Llama 4 Scout](/models/llama-4-scout) - Score: 28.2
- [Llama 4 Maverick](/models/llama-4-maverick) - Score: 21.61
- [Llama 3 70B](/models/llama-3-70b) - Score: 21.32
- [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