Model comparison

Muse Spark vs Qwen-14B

Muse Spark is the stronger model overall, scoring 50.6 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

Muse Spark Meta

50.6

Rank #46 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Muse Spark scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark leads 66.0 to 27.6.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

Muse Spark and Qwen-14B specifications
Muse SparkQwen-14B
ProviderMetaAlibaba (Qwen)
Noometry Index50.631.4
Released2026-04-082023-09-24
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2718

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Category by category

Coding Muse Spark leads

Muse Spark: 46.2 (#69), Qwen-14B: 31.2 (#288)

Coding benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Coding14811071
SciCode51.5%—

Reasoning Muse Spark leads

Muse Spark: 35.9 (#67), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Hard Prompts14741027
Epoch Capabilities Index152.04113.03
CritPt11.3%—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math Muse Spark leads

Muse Spark: 47.8 (#66), Qwen-14B: 31.2 (#227)

Math benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Math14551068
OTIS Mock AIME 2024-202588.9%—
ProofBench17%—
FrontierMath (Feb 2025 set)39%—
FrontierMath Tier 4 (v1)14.6%—
GSM8K—61.3%

Knowledge Not comparable

Muse Spark: 65.7 (#13), Qwen-14B: —

Knowledge benchmarks
BenchmarkMuse SparkQwen-14B
GPQA Diamond89.8%—
Humanity's Last Exam40.6%—
LMArena Expert1457—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multimodal Not comparable

Muse Spark: 43.4 (#24), Qwen-14B: —

Multimodal benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Vision1306—
LMArena Document1444—

Multilingual Muse Spark leads

Muse Spark: 56.1 (#24), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Non-English14641041
LMArena Chinese15091077
LMArena French1497—
LMArena German1497—
LMArena Korean1459—
LMArena Russian1466—
LMArena Spanish1472—

Instruction Following Muse Spark leads

Muse Spark: 75.9 (#51), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Instruction Following14421031

Long Context Muse Spark leads

Muse Spark: 44.4 (#69), Qwen-14B: 31.3 (#280)

Long Context benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Longer Query14511028

Writing & Preference Muse Spark leads

Muse Spark: 66.0 (#39), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
BenchmarkMuse SparkQwen-14B
LMArena Text14741051
LMArena Creative Writing14591028
LMArena Multi-Turn14771022

Frequently asked questions

Is Muse Spark better than Qwen-14B?

Muse Spark is the stronger model overall, scoring 50.6 to 31.4 on the Noometry Index.

Is Muse Spark or Qwen-14B better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 31.2 in the Noometry coding category.

How many benchmarks do Muse Spark and Qwen-14B share?

11 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen-14B has 18.

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