Noometry

Model comparison

Muse Spark 1.2 vs Qwen2-72B

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 30.0 on the Noometry Index.

Last verified . 16 shared benchmarks.

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Qwen2-72B Alibaba (Qwen)

30.0

Rank #300 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Muse Spark 1.2 scores higher in 9 categories and Qwen2-72B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark 1.2 leads 54.1 to 21.2.
  • The biggest single-benchmark swing is WeirdML: 60.3% for Muse Spark 1.2 and 11.3% for Qwen2-72B.
  • Qwen2-72B has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.2Qwen2-72B
ProviderMetaAlibaba (Qwen)
Noometry Index50.330.0
Released2026-08-052024-06-07
WeightsProprietaryOpen
Context window1.05M—
Max output131K—
Input $ / M tokens$1.25—
Output $ / M tokens$4.25—
Results tracked3126

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

Category by category

Coding Muse Spark 1.2 leads

Muse Spark 1.2: 49.2 (#51), Qwen2-72B: 29.1 (#310)

BenchmarkMuse Spark 1.2Qwen2-72B
WeirdML60.3%11.3%
LMArena Coding14951196
DeepSWE54.9%—
LMArena WebDev1533—
FrontierSWE12%—
SciCode56.4%—
BigCodeBench Instruct—38.5%
BigCodeBench Complete—54%

Agentic & Tool Use Muse Spark 1.2 leads

Muse Spark 1.2: 29.4 (#87), Qwen2-72B: 17.0 (#146)

BenchmarkMuse Spark 1.2Qwen2-72B
APEX-Agents36.4%—
TheAgentCompany—1.1%
GDP.pdf16%—
METR Time Horizons—29.9%

Reasoning Muse Spark 1.2 leads

Muse Spark 1.2: 51.3 (#34), Qwen2-72B: 23.2 (#181)

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Hard Prompts14861191
Epoch Capabilities Index154.87125.28
SimpleBench74.5%—
NYT Connections (extended)79.2%—
CritPt17.7%—
DTBench94.7%—
LMCA48.4%—

Math Muse Spark 1.2 leads

Muse Spark 1.2: 46.4 (#70), Qwen2-72B: 30.2 (#236)

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Math14711235
ProofBench43%—
MATH Level 5—39.1%

Knowledge Muse Spark 1.2 leads

Muse Spark 1.2: 54.1 (#53), Qwen2-72B: 21.2 (#275)

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Expert14801171
GPQA Diamond—40.8%
SimpleQA Verified60.3%—
MMLU—82.4%

Multimodal Not comparable

Muse Spark 1.2: 43.4 (#25), Qwen2-72B: —

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Vision1305—

Multilingual Muse Spark 1.2 leads

Muse Spark 1.2: 57.1 (#11), Qwen2-72B: 35.9 (#244)

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Non-English14781176
LMArena Chinese15111240
LMArena French15131170
LMArena Russian14871169
LMArena Spanish14981169
LMArena German—1151
LMArena Japanese—1111
LMArena Korean—1083

Instruction Following Muse Spark 1.2 leads

Muse Spark 1.2: 76.7 (#36), Qwen2-72B: 61.7 (#241)

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Instruction Following14611181

Long Context Muse Spark 1.2 leads

Muse Spark 1.2: 45.2 (#48), Qwen2-72B: 36.1 (#235)

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Longer Query14751192

Writing & Preference Muse Spark 1.2 leads

Muse Spark 1.2: 72.3 (#14), Qwen2-72B: 40.8 (#241)

BenchmarkMuse Spark 1.2Qwen2-72B
LMArena Text14821203
LMArena Creative Writing14491181
LMArena Multi-Turn14941196
EQ-Bench Creative Writing1840—

Frequently asked questions

Is Muse Spark 1.2 better than Qwen2-72B?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 30.0 on the Noometry Index.

Is Muse Spark 1.2 or Qwen2-72B better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 29.1 in the Noometry coding category.

How many benchmarks do Muse Spark 1.2 and Qwen2-72B share?

16 benchmarks have published results for both models. Muse Spark 1.2 has 31 scored results on Noometry and Qwen2-72B has 26.

Related comparisons

Go deeper