Model comparison

Muse Spark 1.3 vs Qwen2-72B

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 30.0 on the Noometry Index.

Last verified . 18 shared benchmarks.

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Qwen2-72B Alibaba (Qwen)

30.0

Rank #300 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Muse Spark 1.3 scores higher in 9 categories and Qwen2-72B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 30.2.
  • Qwen2-72B has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.3 and Qwen2-72B specifications
Muse Spark 1.3Qwen2-72B
ProviderMetaAlibaba (Qwen)
Noometry Index54.830.0
Released2026-09-022024-06-07
WeightsProprietaryOpen
Context window1.05M—
Max output131K—
Input $ / M tokens$1.25—
Output $ / M tokens$4.25—
Results tracked3726

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Category by category

Coding Muse Spark 1.3 leads

Muse Spark 1.3: 56.6 (#21), Qwen2-72B: 29.1 (#310)

Coding benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Coding15141196
CursorBench41.6%—
LMArena WebDev1657—
SciCode59.7%—
WeirdML—11.3%
BigCodeBench Instruct—38.5%
BigCodeBench Complete—54%

Agentic & Tool Use Muse Spark 1.3 leads

Muse Spark 1.3: 38.6 (#30), Qwen2-72B: 17.0 (#146)

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
APEX-Agents57.8%—
TheAgentCompany—1.1%
GDP.pdf27.6%—
METR Time Horizons—29.9%

Reasoning Muse Spark 1.3 leads

Muse Spark 1.3: 54.0 (#27), Qwen2-72B: 23.2 (#181)

Reasoning benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Hard Prompts15031191
Epoch Capabilities Index156.75125.28
NYT Connections (extended)85.1%—
CritPt26%—
Chess Puzzles38%—
Mystery Game Puzzles25%—
DTBench96.5%—
LMCA53.9%—
Bench to the Future 30.14—

Math Muse Spark 1.3 leads

Muse Spark 1.3: 73.1 (#21), Qwen2-72B: 30.2 (#236)

Math benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Math14941235
FrontierMath (Tiers 1-3)74.4%—
FrontierMath Tier 446.3%—
OTIS Mock AIME 2024-202599.2%—
ProofBench58%—
MATH Level 5—39.1%

Knowledge Muse Spark 1.3 leads

Muse Spark 1.3: 42.6 (#95), Qwen2-72B: 21.2 (#275)

Knowledge benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Expert15161171
GPQA Diamond—40.8%
MMLU—82.4%

Multimodal Not comparable

Muse Spark 1.3: 43.7 (#22), Qwen2-72B: —

Multimodal benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Vision1309—
LMArena Document1471—

Multilingual Muse Spark 1.3 leads

Muse Spark 1.3: 57.4 (#8), Qwen2-72B: 35.9 (#244)

Multilingual benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Non-English14811176
LMArena Chinese15291240
LMArena French15241170
LMArena German15151151
LMArena Japanese14741111
LMArena Korean15011083
LMArena Russian14901169
LMArena Spanish14901169

Instruction Following Muse Spark 1.3 leads

Muse Spark 1.3: 77.5 (#22), Qwen2-72B: 61.7 (#241)

Instruction Following benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Instruction Following14771181

Long Context Muse Spark 1.3 leads

Muse Spark 1.3: 45.6 (#32), Qwen2-72B: 36.1 (#235)

Long Context benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Longer Query14881192

Writing & Preference Muse Spark 1.3 leads

Muse Spark 1.3: 73.6 (#9), Qwen2-72B: 40.8 (#241)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Text14901203
LMArena Creative Writing14551181
LMArena Multi-Turn14821196
EQ-Bench Creative Writing1906—

Frequently asked questions

Is Muse Spark 1.3 better than Qwen2-72B?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 30.0 on the Noometry Index.

Is Muse Spark 1.3 or Qwen2-72B better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 29.1 in the Noometry coding category.

How many benchmarks do Muse Spark 1.3 and Qwen2-72B share?

18 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen2-72B has 26.

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