Noometry

Model comparison

GLM-5.1 vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 47.8 on the Noometry Index.

Last verified . 28 shared benchmarks.

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 28 benchmarks with published results for both. GLM-5.1 scores higher in 1 category and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 49.7.
  • The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 36.8% for GLM-5.1 and 74.4% for Muse Spark 1.3.
  • Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
  • Muse Spark 1.3 accepts more context: 1.05M tokens versus 200K.
  • GLM-5.1 has downloadable open weights; the other is API-only.

Side by side

GLM-5.1Muse Spark 1.3
ProviderZ.ai (Zhipu)Meta
Noometry Index47.854.8
Released2026-04-072026-09-02
WeightsOpenProprietary
Context window200K1.05M
Max output131K131K
Input $ / M tokens$1.40$1.25
Output $ / M tokens$4.40$4.25
Results tracked4137

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Category by category

Coding Muse Spark 1.3 leads

GLM-5.1: 48.7 (#55), Muse Spark 1.3: 56.6 (#21)

BenchmarkGLM-5.1Muse Spark 1.3
LMArena WebDev15081657
SciCode43.8%59.7%
LMArena Coding14851514
SWE-bench Verified74.2%—
CursorBench—41.6%
WeirdML57.1%—
ALE-Bench887.1—

Agentic & Tool Use Muse Spark 1.3 leads

GLM-5.1: 24.9 (#113), Muse Spark 1.3: 38.6 (#30)

BenchmarkGLM-5.1Muse Spark 1.3
APEX-Agents40.9%57.8%
ExploitBench18.1%—
GBAEval0%—
GDP.pdf—27.6%
Vending-Bench 25,634—

Reasoning Muse Spark 1.3 leads

GLM-5.1: 39.1 (#60), Muse Spark 1.3: 54.0 (#27)

BenchmarkGLM-5.1Muse Spark 1.3
NYT Connections (extended)77.7%85.1%
CritPt4.6%26%
Chess Puzzles19%38%
LMArena Hard Prompts14721503
Epoch Capabilities Index149.84156.75
SimpleBench55.1%—
Thematic Generalization69.8%—
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14

Math Muse Spark 1.3 leads

GLM-5.1: 49.7 (#60), Muse Spark 1.3: 73.1 (#21)

BenchmarkGLM-5.1Muse Spark 1.3
FrontierMath (Tiers 1-3)36.8%74.4%
OTIS Mock AIME 2024-202593.3%99.2%
ProofBench22.2%58%
LMArena Math14731494
FrontierMath Tier 4—46.3%
MathArena Final-Answer Competitions67.1%—
FrontierMath (Feb 2025 set)33.4%—
FrontierMath Tier 4 (v1)12.5%—

Knowledge GLM-5.1 leads

GLM-5.1: 54.9 (#50), Muse Spark 1.3: 42.6 (#95)

BenchmarkGLM-5.1Muse Spark 1.3
LMArena Expert14761516
GPQA Diamond89.9%—
SimpleQA Verified34%—

Multimodal Not comparable

GLM-5.1: —, Muse Spark 1.3: 43.7 (#22)

BenchmarkGLM-5.1Muse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

GLM-5.1: 55.0 (#36), Muse Spark 1.3: 57.4 (#8)

BenchmarkGLM-5.1Muse Spark 1.3
LMArena Non-English14471481
LMArena Chinese15151529
LMArena French14741524
LMArena German14651515
LMArena Japanese14341474
LMArena Korean14181501
LMArena Russian14541490
LMArena Spanish14691490

Instruction Following Muse Spark 1.3 leads

GLM-5.1: 76.3 (#42), Muse Spark 1.3: 77.5 (#22)

BenchmarkGLM-5.1Muse Spark 1.3
LMArena Instruction Following14511477

Long Context Too close to call

GLM-5.1: 44.9 (#53), Muse Spark 1.3: 45.6 (#32)

BenchmarkGLM-5.1Muse Spark 1.3
LMArena Longer Query14661488

Writing & Preference Muse Spark 1.3 leads

GLM-5.1: 66.9 (#31), Muse Spark 1.3: 73.6 (#9)

BenchmarkGLM-5.1Muse Spark 1.3
LMArena Text14611490
LMArena Creative Writing14531455
EQ-Bench Creative Writing15921906
LMArena Multi-Turn14721482

Frequently asked questions

Is GLM-5.1 better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 47.8 on the Noometry Index.

Which is cheaper, GLM-5.1 or Muse Spark 1.3?

Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.

Is GLM-5.1 or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 48.7 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 200K.

How many benchmarks do GLM-5.1 and Muse Spark 1.3 share?

28 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Muse Spark 1.3 has 37.

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