Model comparison

Muse Spark 1.3 vs Qwen-14B

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Muse Spark 1.3 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 1.3 leads 73.6 to 27.6.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.3 and Qwen-14B specifications
Muse Spark 1.3Qwen-14B
ProviderMetaAlibaba (Qwen)
Noometry Index54.831.4
Released2026-09-022023-09-24
WeightsProprietaryOpen
Context window1.05M—
Max output131K—
Input $ / M tokens$1.25—
Output $ / M tokens$4.25—
Results tracked3718

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Muse Spark 1.3 leads

Muse Spark 1.3: 56.6 (#21), Qwen-14B: 31.2 (#288)

Coding benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Coding15141071
CursorBench41.6%—
LMArena WebDev1657—
SciCode59.7%—

Agentic & Tool Use Not comparable

Muse Spark 1.3: 38.6 (#30), Qwen-14B: —

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
APEX-Agents57.8%—
GDP.pdf27.6%—

Reasoning Muse Spark 1.3 leads

Muse Spark 1.3: 54.0 (#27), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Hard Prompts15031027
Epoch Capabilities Index156.75113.03
NYT Connections (extended)85.1%—
CritPt26%—
Chess Puzzles38%—
Mystery Game Puzzles25%—
DTBench96.5%—
LMCA53.9%—
Bench to the Future 30.14—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math Muse Spark 1.3 leads

Muse Spark 1.3: 73.1 (#21), Qwen-14B: 31.2 (#227)

Math benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Math14941068
FrontierMath (Tiers 1-3)74.4%—
FrontierMath Tier 446.3%—
OTIS Mock AIME 2024-202599.2%—
ProofBench58%—
GSM8K—61.3%

Knowledge Not comparable

Muse Spark 1.3: 42.6 (#95), Qwen-14B: —

Knowledge benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Expert1516—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multimodal Not comparable

Muse Spark 1.3: 43.7 (#22), Qwen-14B: —

Multimodal benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Vision1309—
LMArena Document1471—

Multilingual Muse Spark 1.3 leads

Muse Spark 1.3: 57.4 (#8), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Non-English14811041
LMArena Chinese15291077
LMArena French1524—
LMArena German1515—
LMArena Japanese1474—
LMArena Korean1501—
LMArena Russian1490—
LMArena Spanish1490—

Instruction Following Muse Spark 1.3 leads

Muse Spark 1.3: 77.5 (#22), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Instruction Following14771031

Long Context Muse Spark 1.3 leads

Muse Spark 1.3: 45.6 (#32), Qwen-14B: 31.3 (#280)

Long Context benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Longer Query14881028

Writing & Preference Muse Spark 1.3 leads

Muse Spark 1.3: 73.6 (#9), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.3Qwen-14B
LMArena Text14901051
LMArena Creative Writing14551028
LMArena Multi-Turn14821022
EQ-Bench Creative Writing1906—

Frequently asked questions

Is Muse Spark 1.3 better than Qwen-14B?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 31.4 on the Noometry Index.

Is Muse Spark 1.3 or Qwen-14B better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 31.2 in the Noometry coding category.

How many benchmarks do Muse Spark 1.3 and Qwen-14B share?

11 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen-14B has 18.

Related comparisons

Go deeper