Noometry

Model comparison

GLM-5V-Turbo vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 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 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5V-Turbo scores higher in 0 categories and Muse Spark 1.1 in 9 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 29.7.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
  • Muse Spark 1.1 accepts more context: 1.05M tokens versus 200K.

Side by side

GLM-5V-TurboMuse Spark 1.1
ProviderZ.ai (Zhipu)Meta
Noometry Index43.849.9
Released2026-04-012026-04-08
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 1.1 leads

GLM-5V-Turbo: 42.1 (#111), Muse Spark 1.1: 51.3 (#40)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena WebDev14011542
LMArena Coding14661498
DeepSWE—53.3%
SciCode—58.8%

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, Muse Spark 1.1: 30.8 (#73)

BenchmarkGLM-5V-TurboMuse Spark 1.1
APEX-Agents—31.8%
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning Muse Spark 1.1 leads

GLM-5V-Turbo: 29.7 (#89), Muse Spark 1.1: 47.1 (#44)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Hard Prompts14431486
NYT Connections (extended)—84.9%
CritPt—15.1%
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.21

Math Muse Spark 1.1 leads

GLM-5V-Turbo: 39.4 (#106), Muse Spark 1.1: 45.5 (#76)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Math14411483
ProofBench—39%

Knowledge Muse Spark 1.1 leads

GLM-5V-Turbo: 40.6 (#117), Muse Spark 1.1: 53.1 (#59)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Expert14521478
SimpleQA Verified—57.8%

Multimodal Muse Spark 1.1 leads

GLM-5V-Turbo: 40.9 (#42), Muse Spark 1.1: 42.6 (#29)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Vision12641293
LMArena Document14161465

Multilingual Muse Spark 1.1 leads

GLM-5V-Turbo: 53.0 (#73), Muse Spark 1.1: 56.7 (#17)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Non-English14201472
LMArena Chinese14881518
LMArena French14441494
LMArena German14231466
LMArena Korean13961458
LMArena Russian14311483
LMArena Spanish14501464
LMArena Japanese—1451

Instruction Following Muse Spark 1.1 leads

GLM-5V-Turbo: 75.0 (#80), Muse Spark 1.1: 76.5 (#39)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Instruction Following14231457

Long Context Too close to call

GLM-5V-Turbo: 44.0 (#80), Muse Spark 1.1: 44.8 (#58)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Longer Query14381462

Writing & Preference Muse Spark 1.1 leads

GLM-5V-Turbo: 62.5 (#73), Muse Spark 1.1: 73.4 (#11)

BenchmarkGLM-5V-TurboMuse Spark 1.1
LMArena Text14371479
LMArena Creative Writing14161437
LMArena Multi-Turn14321485
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260

Frequently asked questions

Is GLM-5V-Turbo better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 43.8 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or Muse Spark 1.1?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

Is GLM-5V-Turbo or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 42.1 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Muse Spark 1.1 share?

19 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Muse Spark 1.1 has 37.

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