Model comparison

Muse Spark 1.3 vs Qwen2-72B

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 29.5 on the Noometry Index.

Last verified . 16 shared benchmarks.

Muse Spark 1.3 Meta

54.4

Rank #27 Confirmed

Qwen2-72B Alibaba (Qwen)

29.5

Rank #294 Confirmed

Summary

  • They share 16 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 72.4 to 27.9.
  • 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 Index54.429.5
Released2026-09-022024-06-07
WeightsProprietaryOpen
Context window1.05M—
Max output131K—
Input $ / M tokens$1.25—
Output $ / M tokens$4.25—
Results tracked3426

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Category by category

Coding Muse Spark 1.3 leads

Muse Spark 1.3: 56.1 (#18), Qwen2-72B: 28.7 (#303)

Coding benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Coding15161196
CursorBench41.6%—
LMArena WebDev1655—
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 (#28), Qwen2-72B: 16.9 (#138)

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: 52.9 (#27), Qwen2-72B: 22.2 (#184)

Reasoning benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Hard Prompts15031191
Epoch Capabilities Index156.89125.27
NYT Connections (extended)85.1%—
CritPt24.9%—
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: 72.4 (#16), Qwen2-72B: 27.9 (#232)

Math benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Math14971235
FrontierMath (Tiers 1-3)74.4%—
FrontierMath Tier 446.3%—
OTIS Mock AIME 2024-202599.2%—
MATH Level 5—39.1%

Knowledge Muse Spark 1.3 leads

Muse Spark 1.3: 42.0 (#92), Qwen2-72B: 21.2 (#270)

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

Multimodal Not comparable

Muse Spark 1.3: 43.0 (#21), Qwen2-72B: —

Multimodal benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Vision1310—
LMArena Document1471—

Multilingual Muse Spark 1.3 leads

Muse Spark 1.3: 57.8 (#6), Qwen2-72B: 36.0 (#239)

Multilingual benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Non-English14851176
LMArena Chinese15271240
LMArena French15341169
LMArena Korean15131083
LMArena Russian14911169
LMArena Spanish14851168
LMArena German—1151
LMArena Japanese—1111

Instruction Following Muse Spark 1.3 leads

Muse Spark 1.3: 77.8 (#14), Qwen2-72B: 62.0 (#236)

Instruction Following benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Instruction Following14811181

Long Context Muse Spark 1.3 leads

Muse Spark 1.3: 45.7 (#29), Qwen2-72B: 36.1 (#230)

Long Context benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Longer Query14911193

Writing & Preference Muse Spark 1.3 leads

Muse Spark 1.3: 73.7 (#10), Qwen2-72B: 41.0 (#236)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.3Qwen2-72B
LMArena Text14901203
LMArena Creative Writing14501181
LMArena Multi-Turn14861195
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 54.4 to 29.5 on the Noometry Index.

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

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 28.7 in the Noometry coding category.

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

16 benchmarks have published results for both models. Muse Spark 1.3 has 34 scored results on Noometry and Qwen2-72B has 26.

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