Model comparison

Muse Spark vs Qwen1.5-110B

Muse Spark is the stronger model overall, scoring 50.6 to 34.2 on the Noometry Index.

Last verified . 16 shared benchmarks.

Muse Spark Meta

50.6

Rank #46 Confirmed

Qwen1.5-110B Alibaba (Qwen)

34.2

Rank #234 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Qwen1.5-110B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark leads 65.7 to 31.2.
  • Qwen1.5-110B has downloadable open weights; the other is API-only.

Side by side

Muse Spark and Qwen1.5-110B specifications
Muse SparkQwen1.5-110B
ProviderMetaAlibaba (Qwen)
Noometry Index50.634.2
Released2026-04-082024-04-25
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2720

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Category by category

Coding Muse Spark leads

Muse Spark: 46.2 (#69), Qwen1.5-110B: 33.0 (#264)

Coding benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Coding14811184
SciCode51.5%—
BigCodeBench Instruct—35%
BigCodeBench Complete—44.4%

Reasoning Muse Spark leads

Muse Spark: 35.9 (#67), Qwen1.5-110B: 22.7 (#189)

Reasoning benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Hard Prompts14741168
CritPt11.3%—
Epoch Capabilities Index152.04—
ForecastBench—57.7

Math Muse Spark leads

Muse Spark: 47.8 (#66), Qwen1.5-110B: 33.7 (#201)

Math benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Math14551185
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), Qwen1.5-110B: 31.2 (#219)

Knowledge benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Expert14571144
GPQA Diamond89.8%—
Humanity's Last Exam40.6%—

Multimodal Not comparable

Muse Spark: 43.4 (#24), Qwen1.5-110B: —

Multimodal benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Vision1306—
LMArena Document1444—

Multilingual Muse Spark leads

Muse Spark: 56.1 (#24), Qwen1.5-110B: 33.6 (#250)

Multilingual benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Non-English14641142
LMArena Chinese15091206
LMArena French14971151
LMArena German14971123
LMArena Korean14591044
LMArena Russian14661118
LMArena Spanish14721142
LMArena Japanese—1074

Instruction Following Muse Spark leads

Muse Spark: 75.9 (#51), Qwen1.5-110B: 60.3 (#252)

Instruction Following benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Instruction Following14421158

Long Context Muse Spark leads

Muse Spark: 44.4 (#69), Qwen1.5-110B: 35.1 (#242)

Long Context benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Longer Query14511157

Writing & Preference Muse Spark leads

Muse Spark: 66.0 (#39), Qwen1.5-110B: 38.0 (#255)

Writing & Preference benchmarks
BenchmarkMuse SparkQwen1.5-110B
LMArena Text14741175
LMArena Creative Writing14591148
LMArena Multi-Turn14771160

Frequently asked questions

Is Muse Spark better than Qwen1.5-110B?

Muse Spark is the stronger model overall, scoring 50.6 to 34.2 on the Noometry Index.

Is Muse Spark or Qwen1.5-110B better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 33.0 in the Noometry coding category.

How many benchmarks do Muse Spark and Qwen1.5-110B share?

16 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen1.5-110B has 20.

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