Model comparison

Muse Spark 1.3 vs Qwen1.5-7B

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

Last verified . 12 shared benchmarks.

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Muse Spark 1.3 scores higher in 8 categories and Qwen1.5-7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.3 leads 73.6 to 29.6.
  • Qwen1.5-7B has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.3 and Qwen1.5-7B specifications
Muse Spark 1.3Qwen1.5-7B
ProviderMetaAlibaba (Qwen)
Noometry Index54.831.4
Released2026-09-022024-02-04
WeightsProprietaryOpen
Context window1.05M—
Max output131K—
Input $ / M tokens$1.25—
Output $ / M tokens$4.25—
Results tracked3713

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), Qwen1.5-7B: 32.2 (#276)

Coding benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Coding15141107
CursorBench41.6%—
LMArena WebDev1657—
SciCode59.7%—

Agentic & Tool Use Not comparable

Muse Spark 1.3: 38.6 (#30), Qwen1.5-7B: —

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
APEX-Agents57.8%—
GDP.pdf27.6%—

Reasoning Muse Spark 1.3 leads

Muse Spark 1.3: 54.0 (#27), Qwen1.5-7B: 20.4 (#240)

Reasoning benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Hard Prompts15031065
NYT Connections (extended)85.1%—
CritPt26%—
Chess Puzzles38%—
Mystery Game Puzzles25%—
DTBench96.5%—
LMCA53.9%—
Bench to the Future 30.14—
Epoch Capabilities Index156.75—

Math Muse Spark 1.3 leads

Muse Spark 1.3: 73.1 (#21), Qwen1.5-7B: 31.4 (#224)

Math benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Math14941080
FrontierMath (Tiers 1-3)74.4%—
FrontierMath Tier 446.3%—
OTIS Mock AIME 2024-202599.2%—
ProofBench58%—

Knowledge Muse Spark 1.3 leads

Muse Spark 1.3: 42.6 (#95), Qwen1.5-7B: 28.7 (#243)

Knowledge benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Expert15161055
MMLU—62.6%

Multimodal Not comparable

Muse Spark 1.3: 43.7 (#22), Qwen1.5-7B: —

Multimodal benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Vision1309—
LMArena Document1471—

Multilingual Muse Spark 1.3 leads

Muse Spark 1.3: 57.4 (#8), Qwen1.5-7B: 28.5 (#271)

Multilingual benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Non-English14811058
LMArena Chinese15291141
LMArena Russian14901006
LMArena French1524—
LMArena German1515—
LMArena Japanese1474—
LMArena Korean1501—
LMArena Spanish1490—

Instruction Following Muse Spark 1.3 leads

Muse Spark 1.3: 77.5 (#22), Qwen1.5-7B: 54.1 (#281)

Instruction Following benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Instruction Following14771058

Long Context Muse Spark 1.3 leads

Muse Spark 1.3: 45.6 (#32), Qwen1.5-7B: 33.1 (#266)

Long Context benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Longer Query14881090

Writing & Preference Muse Spark 1.3 leads

Muse Spark 1.3: 73.6 (#9), Qwen1.5-7B: 29.6 (#293)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.3Qwen1.5-7B
LMArena Text14901083
LMArena Creative Writing14551035
LMArena Multi-Turn14821062
EQ-Bench Creative Writing1906—

Frequently asked questions

Is Muse Spark 1.3 better than Qwen1.5-7B?

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 Qwen1.5-7B better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 32.2 in the Noometry coding category.

How many benchmarks do Muse Spark 1.3 and Qwen1.5-7B share?

12 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen1.5-7B has 13.

Related comparisons

Go deeper