# Muse Spark vs Qwen2.5 72B Instruct

> Muse Spark is the stronger model overall, scoring 50.3 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/muse-spark-vs-qwen2-5-72b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Qwen2.5 72B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 26.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Muse Spark and 8.1% for Qwen2.5 72B Instruct.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 50.3 | 31.5 |
| Rank | 41 | 259 |
| Context | — | 131K |
| Input $/M | — | $1.40 |
| Output $/M | — | $5.60 |
| Weights | Proprietary | Open |

## Coding

- Muse Spark: 45.6 (#65)
- Qwen2.5 72B Instruct: 32.8 (#256)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Coding | 1482 | 1293 |
| SciCode | 51.5% | — |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |

## Agentic & Tool Use

- Muse Spark: —
- Qwen2.5 72B Instruct: 22.0 (#124)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |

## Reasoning

- Muse Spark: 34.9 (#61)
- Qwen2.5 72B Instruct: 21.4 (#197)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1475 | 1271 |
| Epoch Capabilities Index | 152.09 | 129.01 |
| CritPt | 11.3% | — |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |

## Math

- Muse Spark: 46.8 (#57)
- Qwen2.5 72B Instruct: 18.1 (#281)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 8.1% |
| LMArena Math | 1455 | 1283 |
| ProofBench | 17% | — |
| Omni-MATH | — | 33% |
| MATH Level 5 | — | 63.2% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Muse Spark: 65.7 (#12)
- Qwen2.5 72B Instruct: 26.9 (#247)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | 89.8% | 49.1% |
| LMArena Expert | 1458 | 1245 |
| Humanity's Last Exam | 40.6% | — |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |

## Multimodal

- Muse Spark: 42.7 (#23)
- Qwen2.5 72B Instruct: —

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |

## Multilingual

- Muse Spark: 56.3 (#23)
- Qwen2.5 72B Instruct: 41.2 (#208)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1464 | 1252 |
| LMArena Chinese | 1507 | 1272 |
| LMArena French | 1497 | 1279 |
| LMArena German | 1497 | 1234 |
| LMArena Korean | 1457 | 1188 |
| LMArena Russian | 1467 | 1264 |
| LMArena Spanish | 1471 | 1255 |
| LMArena Japanese | — | 1180 |

## Instruction Following

- Muse Spark: 76.1 (#47)
- Qwen2.5 72B Instruct: 65.7 (#216)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1443 | 1254 |
| IFEval | — | 80.6% |

## Long Context

- Muse Spark: 44.4 (#65)
- Qwen2.5 72B Instruct: 38.9 (#183)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1451 | 1282 |

## Writing & Preference

- Muse Spark: 66.2 (#37)
- Qwen2.5 72B Instruct: 46.9 (#210)

| Benchmark | Muse Spark | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1474 | 1269 |
| LMArena Creative Writing | 1460 | 1221 |
| LMArena Multi-Turn | 1477 | 1272 |
| WildBench | — | 80.2% |

## FAQ

### Is Muse Spark better than Qwen2.5 72B Instruct?

Muse Spark is the stronger model overall, scoring 50.3 to 31.5 on the Noometry Index.

### Is Muse Spark or Qwen2.5 72B Instruct better for coding?

Muse Spark scores higher on coding benchmarks: 45.6 versus 32.8 in the Noometry coding category.

### How many benchmarks do Muse Spark and Qwen2.5 72B Instruct share?

19 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen2.5 72B Instruct has 43.