Noometry

Model comparison

GLM-4.5 vs GLM-5V-Turbo

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 42.0 on the Noometry Index. GLM-4.5 costs 1.9× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

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

43.8

Rank #84 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.5 scores higher in 0 categories and GLM-5V-Turbo in 8 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in long context, where GLM-5V-Turbo leads 44.0 to 38.2.
  • GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • GLM-5V-Turbo accepts more context: 200K tokens versus 131K.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

GLM-4.5GLM-5V-Turbo
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index42.043.8
Released2025-07-272026-04-01
WeightsOpenProprietary
Context window131K200K
Max output98K131K
Input $ / M tokens$0.60$1.20
Output $ / M tokens$2.20$4
Results tracked2719

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Category by category

Coding Too close to call

GLM-4.5: 41.4 (#125), GLM-5V-Turbo: 42.1 (#111)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Coding14341466
SWE-bench Verified (bash only)54.2%—
LMArena WebDev—1401
WeirdML40.6%—
ALE-Bench344.82—
AlgoTune1.52—

Reasoning GLM-5V-Turbo leads

GLM-4.5: 28.6 (#100), GLM-5V-Turbo: 29.7 (#89)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Hard Prompts14291443
Kagi LLM Benchmark57.9%—

Math Too close to call

GLM-4.5: 39.0 (#116), GLM-5V-Turbo: 39.4 (#106)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Math14271441

Knowledge GLM-5V-Turbo leads

GLM-4.5: 35.9 (#179), GLM-5V-Turbo: 40.6 (#117)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Expert14331452
Humanity's Last Exam8.3%—
Confabulations11.3%—

Multimodal Not comparable

GLM-4.5: —, GLM-5V-Turbo: 40.9 (#42)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Vision—1264
LMArena Document—1416

Multilingual Too close to call

GLM-4.5: 52.8 (#77), GLM-5V-Turbo: 53.0 (#73)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Non-English14171420
LMArena Chinese14651488
LMArena French14181444
LMArena German14071423
LMArena Korean13801396
LMArena Russian14141431
LMArena Spanish14541450
LMArena Japanese1415—

Instruction Following Too close to call

GLM-4.5: 74.1 (#104), GLM-5V-Turbo: 75.0 (#80)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Instruction Following14041423

Long Context GLM-5V-Turbo leads

GLM-4.5: 38.2 (#201), GLM-5V-Turbo: 44.0 (#80)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Longer Query14121438
Fiction.LiveBench58.3%—

Writing & Preference GLM-5V-Turbo leads

GLM-4.5: 57.5 (#127), GLM-5V-Turbo: 62.5 (#73)

BenchmarkGLM-4.5GLM-5V-Turbo
LMArena Text14301437
LMArena Creative Writing13951416
LMArena Multi-Turn14151432
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—

Frequently asked questions

Is GLM-4.5 better than GLM-5V-Turbo?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 42.0 on the Noometry Index. GLM-4.5 costs 1.9× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5 or GLM-5V-Turbo?

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-4.5 or GLM-5V-Turbo better for coding?

They score almost the same on coding (41.4 vs 42.1); test both on your own repository before choosing.

Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 131K.

How many benchmarks do GLM-4.5 and GLM-5V-Turbo share?

16 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GLM-5V-Turbo has 19.

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