Model comparison

Muse Spark vs Qwen1.5-32B

Muse Spark is the stronger model overall, scoring 50.6 to 30.5 on the Noometry Index.

Last verified . 17 shared benchmarks.

Muse Spark Meta

50.6

Rank #46 Confirmed

Qwen1.5-32B Alibaba (Qwen)

30.5

Rank #293 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Qwen1.5-32B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark leads 65.7 to 13.5.
  • The biggest single-benchmark swing is GPQA Diamond: 89.8% for Muse Spark and 30.7% for Qwen1.5-32B.
  • Qwen1.5-32B has downloadable open weights; the other is API-only.

Side by side

Muse Spark and Qwen1.5-32B specifications
Muse SparkQwen1.5-32B
ProviderMetaAlibaba (Qwen)
Noometry Index50.630.5
Released2026-04-082024-02-04
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2721

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Category by category

Coding Muse Spark leads

Muse Spark: 46.2 (#69), Qwen1.5-32B: 31.7 (#282)

Coding benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Coding14811155
SciCode51.5%—
BigCodeBench Instruct—32.3%
BigCodeBench Complete—42%

Reasoning Muse Spark leads

Muse Spark: 35.9 (#67), Qwen1.5-32B: 21.8 (#212)

Reasoning benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Hard Prompts14741130
CritPt11.3%—
Epoch Capabilities Index152.04—

Math Muse Spark leads

Muse Spark: 47.8 (#66), Qwen1.5-32B: 33.0 (#207)

Math benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Math14551155
OTIS Mock AIME 2024-202588.9%—
ProofBench17%—
FrontierMath (Feb 2025 set)39%—
FrontierMath Tier 4 (v1)14.6%—

Knowledge Muse Spark leads

Muse Spark: 65.7 (#13), Qwen1.5-32B: 13.5 (#296)

Knowledge benchmarks
BenchmarkMuse SparkQwen1.5-32B
GPQA Diamond89.8%30.7%
LMArena Expert14571126
Humanity's Last Exam40.6%—
MMLU—74.4%

Multimodal Not comparable

Muse Spark: 43.4 (#24), Qwen1.5-32B: —

Multimodal benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Vision1306—
LMArena Document1444—

Multilingual Muse Spark leads

Muse Spark: 56.1 (#24), Qwen1.5-32B: 31.4 (#259)

Multilingual benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Non-English14641106
LMArena Chinese15091177
LMArena French14971101
LMArena German14971058
LMArena Korean14591008
LMArena Russian14661073
LMArena Spanish14721089
LMArena Japanese—1027

Instruction Following Muse Spark leads

Muse Spark: 75.9 (#51), Qwen1.5-32B: 57.7 (#265)

Instruction Following benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Instruction Following14421116

Long Context Muse Spark leads

Muse Spark: 44.4 (#69), Qwen1.5-32B: 34.7 (#246)

Long Context benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Longer Query14511146

Writing & Preference Muse Spark leads

Muse Spark: 66.0 (#39), Qwen1.5-32B: 34.2 (#271)

Writing & Preference benchmarks
BenchmarkMuse SparkQwen1.5-32B
LMArena Text14741137
LMArena Creative Writing14591083
LMArena Multi-Turn14771140

Frequently asked questions

Is Muse Spark better than Qwen1.5-32B?

Muse Spark is the stronger model overall, scoring 50.6 to 30.5 on the Noometry Index.

Is Muse Spark or Qwen1.5-32B better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 31.7 in the Noometry coding category.

How many benchmarks do Muse Spark and Qwen1.5-32B share?

17 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen1.5-32B has 21.

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