Noometry

Model comparison

GLM-5V-Turbo vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 43.8 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5V-Turbo scores higher in 0 categories and Muse Spark 1.3 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 39.4.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
  • Muse Spark 1.3 accepts more context: 1.05M tokens versus 200K.

Side by side

GLM-5V-TurboMuse Spark 1.3
ProviderZ.ai (Zhipu)Meta
Noometry Index43.854.8
Released2026-04-012026-09-02
WeightsProprietaryProprietary
Context window200K1.05M
Max output131K131K
Input $ / M tokens$1.20$1.25
Output $ / M tokens$4$4.25
Results tracked1937

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Category by category

Coding Muse Spark 1.3 leads

GLM-5V-Turbo: 42.1 (#111), Muse Spark 1.3: 56.6 (#21)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena WebDev14011657
LMArena Coding14661514
CursorBench—41.6%
SciCode—59.7%

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, Muse Spark 1.3: 38.6 (#30)

BenchmarkGLM-5V-TurboMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

GLM-5V-Turbo: 29.7 (#89), Muse Spark 1.3: 54.0 (#27)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Hard Prompts14431503
NYT Connections (extended)—85.1%
CritPt—26%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Muse Spark 1.3 leads

GLM-5V-Turbo: 39.4 (#106), Muse Spark 1.3: 73.1 (#21)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Math14411494
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%

Knowledge Muse Spark 1.3 leads

GLM-5V-Turbo: 40.6 (#117), Muse Spark 1.3: 42.6 (#95)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Expert14521516

Multimodal Muse Spark 1.3 leads

GLM-5V-Turbo: 40.9 (#42), Muse Spark 1.3: 43.7 (#22)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Vision12641309
LMArena Document14161471

Multilingual Muse Spark 1.3 leads

GLM-5V-Turbo: 53.0 (#73), Muse Spark 1.3: 57.4 (#8)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Non-English14201481
LMArena Chinese14881529
LMArena French14441524
LMArena German14231515
LMArena Korean13961501
LMArena Russian14311490
LMArena Spanish14501490
LMArena Japanese—1474

Instruction Following Muse Spark 1.3 leads

GLM-5V-Turbo: 75.0 (#80), Muse Spark 1.3: 77.5 (#22)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Instruction Following14231477

Long Context Muse Spark 1.3 leads

GLM-5V-Turbo: 44.0 (#80), Muse Spark 1.3: 45.6 (#32)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Longer Query14381488

Writing & Preference Muse Spark 1.3 leads

GLM-5V-Turbo: 62.5 (#73), Muse Spark 1.3: 73.6 (#9)

BenchmarkGLM-5V-TurboMuse Spark 1.3
LMArena Text14371490
LMArena Creative Writing14161455
LMArena Multi-Turn14321482
EQ-Bench Creative Writing—1906

Frequently asked questions

Is GLM-5V-Turbo better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 43.8 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or Muse Spark 1.3?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.

Is GLM-5V-Turbo or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 42.1 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-5V-Turbo and Muse Spark 1.3 share?

19 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Muse Spark 1.3 has 37.

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