Model comparison

Muse Spark 1.2 vs Qwen-14B

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Muse Spark 1.2 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 1.2 leads 72.3 to 27.6.
  • Qwen-14B has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.2 and Qwen-14B specifications
Muse Spark 1.2Qwen-14B
ProviderMetaAlibaba (Qwen)
Noometry Index50.331.4
Released2026-08-052023-09-24
WeightsProprietaryOpen
Context window1.05M—
Max output131K—
Input $ / M tokens$1.25—
Output $ / M tokens$4.25—
Results tracked3118

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Category by category

Coding Muse Spark 1.2 leads

Muse Spark 1.2: 49.2 (#51), Qwen-14B: 31.2 (#288)

Coding benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Coding14951071
DeepSWE54.9%—
LMArena WebDev1533—
FrontierSWE12%—
SciCode56.4%—
WeirdML60.3%—

Agentic & Tool Use Not comparable

Muse Spark 1.2: 29.4 (#87), Qwen-14B: —

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
APEX-Agents36.4%—
GDP.pdf16%—

Reasoning Muse Spark 1.2 leads

Muse Spark 1.2: 51.3 (#34), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Hard Prompts14861027
Epoch Capabilities Index154.87113.03
SimpleBench74.5%—
NYT Connections (extended)79.2%—
CritPt17.7%—
DTBench94.7%—
LMCA48.4%—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math Muse Spark 1.2 leads

Muse Spark 1.2: 46.4 (#70), Qwen-14B: 31.2 (#227)

Math benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Math14711068
ProofBench43%—
GSM8K—61.3%

Knowledge Not comparable

Muse Spark 1.2: 54.1 (#53), Qwen-14B: —

Knowledge benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
SimpleQA Verified60.3%—
LMArena Expert1480—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multimodal Not comparable

Muse Spark 1.2: 43.4 (#25), Qwen-14B: —

Multimodal benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Vision1305—

Multilingual Muse Spark 1.2 leads

Muse Spark 1.2: 57.1 (#11), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Non-English14781041
LMArena Chinese15111077
LMArena French1513—
LMArena Russian1487—
LMArena Spanish1498—

Instruction Following Muse Spark 1.2 leads

Muse Spark 1.2: 76.7 (#36), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Instruction Following14611031

Long Context Muse Spark 1.2 leads

Muse Spark 1.2: 45.2 (#48), Qwen-14B: 31.3 (#280)

Long Context benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Longer Query14751028

Writing & Preference Muse Spark 1.2 leads

Muse Spark 1.2: 72.3 (#14), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.2Qwen-14B
LMArena Text14821051
LMArena Creative Writing14491028
LMArena Multi-Turn14941022
EQ-Bench Creative Writing1840—

Frequently asked questions

Is Muse Spark 1.2 better than Qwen-14B?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 31.4 on the Noometry Index.

Is Muse Spark 1.2 or Qwen-14B better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 31.2 in the Noometry coding category.

How many benchmarks do Muse Spark 1.2 and Qwen-14B share?

11 benchmarks have published results for both models. Muse Spark 1.2 has 31 scored results on Noometry and Qwen-14B has 18.

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