Model comparison
Muse Spark vs Qwen1.5-7B
Muse Spark is the stronger model overall, scoring 50.6 to 31.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
Alibaba (Qwen)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 28.7.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark | Qwen1.5-7B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 50.6 | 31.4 |
| Released | 2026-04-08 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 13 |
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Category by category
Coding Muse Spark leads
Muse Spark: 46.2 (#69), Qwen1.5-7B: 32.2 (#276)
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1481 | 1107 |
| SciCode | 51.5% | — |
Reasoning Muse Spark leads
Muse Spark: 35.9 (#67), Qwen1.5-7B: 20.4 (#240)
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1474 | 1065 |
| CritPt | 11.3% | — |
| Epoch Capabilities Index | 152.04 | — |
Math Muse Spark leads
Muse Spark: 47.8 (#66), Qwen1.5-7B: 31.4 (#224)
| 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 leads
Muse Spark: 65.7 (#13), Qwen1.5-7B: 28.7 (#243)
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1457 | 1055 |
| GPQA Diamond | 89.8% | — |
| Humanity's Last Exam | 40.6% | — |
| MMLU | — | 62.6% |
Multimodal Not comparable
Muse Spark: 43.4 (#24), Qwen1.5-7B: —
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |
Multilingual Muse Spark leads
Muse Spark: 56.1 (#24), Qwen1.5-7B: 28.5 (#271)
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1464 | 1058 |
| LMArena Chinese | 1509 | 1141 |
| LMArena Russian | 1466 | 1006 |
| LMArena French | 1497 | — |
| LMArena German | 1497 | — |
| LMArena Korean | 1459 | — |
| LMArena Spanish | 1472 | — |
Instruction Following Muse Spark leads
Muse Spark: 75.9 (#51), Qwen1.5-7B: 54.1 (#281)
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1442 | 1058 |
Long Context Muse Spark leads
Muse Spark: 44.4 (#69), Qwen1.5-7B: 33.1 (#266)
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1451 | 1090 |
Writing & Preference Muse Spark leads
Muse Spark: 66.0 (#39), Qwen1.5-7B: 29.6 (#293)
| Benchmark | Muse Spark | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1474 | 1083 |
| LMArena Creative Writing | 1459 | 1035 |
| LMArena Multi-Turn | 1477 | 1062 |
Frequently asked questions
Is Muse Spark better than Qwen1.5-7B?
Muse Spark is the stronger model overall, scoring 50.6 to 31.4 on the Noometry Index.
Is Muse Spark or Qwen1.5-7B better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 32.2 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.