# Muse Spark vs Qwen1.5-7B

> Muse Spark is the stronger model overall, scoring 50.3 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/muse-spark-vs-qwen1-5-7b
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Qwen1.5-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 28.2.
- Qwen1.5-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Muse Spark | Qwen1.5-7B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 50.3 | 30.8 |
| Rank | 41 | 270 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Muse Spark: 45.6 (#65)
- Qwen1.5-7B: 31.6 (#271)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1482 | 1107 |
| SciCode | 51.5% | — |

## Reasoning

- Muse Spark: 34.9 (#61)
- Qwen1.5-7B: 19.5 (#237)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1475 | 1066 |
| CritPt | 11.3% | — |
| Epoch Capabilities Index | 152.09 | — |

## Math

- Muse Spark: 46.8 (#57)
- Qwen1.5-7B: 29.0 (#222)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1455 | 1080 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 17% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Muse Spark: 65.7 (#12)
- Qwen1.5-7B: 28.2 (#239)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1458 | 1055 |
| GPQA Diamond | 89.8% | — |
| Humanity's Last Exam | 40.6% | — |
| MMLU | — | 62.6% |

## Multimodal

- Muse Spark: 42.7 (#23)
- Qwen1.5-7B: —

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |

## Multilingual

- Muse Spark: 56.3 (#23)
- Qwen1.5-7B: 28.6 (#266)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1464 | 1058 |
| LMArena Chinese | 1507 | 1140 |
| LMArena Russian | 1467 | 1006 |
| LMArena French | 1497 | — |
| LMArena German | 1497 | — |
| LMArena Korean | 1457 | — |
| LMArena Spanish | 1471 | — |

## Instruction Following

- Muse Spark: 76.1 (#47)
- Qwen1.5-7B: 54.4 (#276)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1443 | 1058 |

## Long Context

- Muse Spark: 44.4 (#65)
- Qwen1.5-7B: 33.1 (#261)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1451 | 1090 |

## Writing & Preference

- Muse Spark: 66.2 (#37)
- Qwen1.5-7B: 29.8 (#288)

| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1474 | 1084 |
| LMArena Creative Writing | 1460 | 1035 |
| LMArena Multi-Turn | 1477 | 1061 |

## FAQ

### Is Muse Spark better than Qwen1.5-7B?

Muse Spark is the stronger model overall, scoring 50.3 to 30.8 on the Noometry Index.

### Is Muse Spark or Qwen1.5-7B better for coding?

Muse Spark scores higher on coding benchmarks: 45.6 versus 31.6 in the Noometry coding category.

### How many benchmarks do Muse Spark and Qwen1.5-7B share?

12 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen1.5-7B has 13.