Noometry

Model comparison

GLM-5.1 vs Muse Spark

Muse Spark is the stronger model overall, scoring 50.6 to 47.8 on the Noometry Index.

Last verified . 24 shared benchmarks.

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Muse Spark Meta

50.6

Rank #46 Confirmed

Summary

  • They share 24 benchmarks with published results for both. GLM-5.1 scores higher in 6 categories and Muse Spark in 2 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark leads 65.7 to 54.9.
  • The biggest single-benchmark swing is SciCode: 43.8% for GLM-5.1 and 51.5% for Muse Spark.
  • GLM-5.1 has downloadable open weights; the other is API-only.

Side by side

GLM-5.1Muse Spark
ProviderZ.ai (Zhipu)Meta
Noometry Index47.850.6
Released2026-04-072026-04-08
WeightsOpenProprietary
Context window200K—
Max output131K—
Input $ / M tokens$1.40—
Output $ / M tokens$4.40—
Results tracked4127

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Category by category

Coding GLM-5.1 leads

GLM-5.1: 48.7 (#55), Muse Spark: 46.2 (#69)

BenchmarkGLM-5.1Muse Spark
SciCode43.8%51.5%
LMArena Coding14851481
SWE-bench Verified74.2%—
LMArena WebDev1508—
WeirdML57.1%—
ALE-Bench887.1—

Agentic & Tool Use Not comparable

GLM-5.1: 24.9 (#113), Muse Spark: —

BenchmarkGLM-5.1Muse Spark
APEX-Agents40.9%—
ExploitBench18.1%—
GBAEval0%—
Vending-Bench 25,634—

Reasoning GLM-5.1 leads

GLM-5.1: 39.1 (#60), Muse Spark: 35.9 (#67)

BenchmarkGLM-5.1Muse Spark
CritPt4.6%11.3%
LMArena Hard Prompts14721474
Epoch Capabilities Index149.84152.04
SimpleBench55.1%—
NYT Connections (extended)77.7%—
Chess Puzzles19%—
Thematic Generalization69.8%—

Math GLM-5.1 leads

GLM-5.1: 49.7 (#60), Muse Spark: 47.8 (#66)

BenchmarkGLM-5.1Muse Spark
OTIS Mock AIME 2024-202593.3%88.9%
ProofBench22.2%17%
LMArena Math14731455
FrontierMath (Feb 2025 set)33.4%39%
FrontierMath Tier 4 (v1)12.5%14.6%
FrontierMath (Tiers 1-3)36.8%—
MathArena Final-Answer Competitions67.1%—

Knowledge Muse Spark leads

GLM-5.1: 54.9 (#50), Muse Spark: 65.7 (#13)

BenchmarkGLM-5.1Muse Spark
GPQA Diamond89.9%89.8%
LMArena Expert14761457
Humanity's Last Exam—40.6%
SimpleQA Verified34%—

Multimodal Not comparable

GLM-5.1: —, Muse Spark: 43.4 (#24)

BenchmarkGLM-5.1Muse Spark
LMArena Vision—1306
LMArena Document—1444

Multilingual Muse Spark leads

GLM-5.1: 55.0 (#36), Muse Spark: 56.1 (#24)

BenchmarkGLM-5.1Muse Spark
LMArena Non-English14471464
LMArena Chinese15151509
LMArena French14741497
LMArena German14651497
LMArena Korean14181459
LMArena Russian14541466
LMArena Spanish14691472
LMArena Japanese1434—

Instruction Following Too close to call

GLM-5.1: 76.3 (#42), Muse Spark: 75.9 (#51)

BenchmarkGLM-5.1Muse Spark
LMArena Instruction Following14511442

Long Context Too close to call

GLM-5.1: 44.9 (#53), Muse Spark: 44.4 (#69)

BenchmarkGLM-5.1Muse Spark
LMArena Longer Query14661451

Writing & Preference Too close to call

GLM-5.1: 66.9 (#31), Muse Spark: 66.0 (#39)

BenchmarkGLM-5.1Muse Spark
LMArena Text14611474
LMArena Creative Writing14531459
LMArena Multi-Turn14721477
EQ-Bench Creative Writing1592—

Frequently asked questions

Is GLM-5.1 better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 47.8 on the Noometry Index.

Is GLM-5.1 or Muse Spark better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 versus 46.2 in the Noometry coding category.

How many benchmarks do GLM-5.1 and Muse Spark share?

24 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Muse Spark has 27.

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