Model comparison

GLM-4.5V vs GLM-5V-Turbo

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 39.8 on the Noometry Index. GLM-4.5V costs 2.1× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

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

43.8

Rank #84 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and GLM-5V-Turbo in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 52.5.
  • GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • GLM-5V-Turbo accepts more context: 200K tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5V and GLM-5V-Turbo specifications
GLM-4.5VGLM-5V-Turbo
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index39.843.8
Released2025-08-112026-04-01
WeightsOpenProprietary
Context window64K200K
Max output16K131K
Input $ / M tokens$0.60$1.20
Output $ / M tokens$1.80$4
Results tracked1519

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Category by category

Coding GLM-5V-Turbo leads

GLM-4.5V: 39.5 (#155), GLM-5V-Turbo: 42.1 (#111)

Coding benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Coding13471466
LMArena WebDev—1401

Reasoning GLM-5V-Turbo leads

GLM-4.5V: 27.4 (#119), GLM-5V-Turbo: 29.7 (#89)

Reasoning benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Hard Prompts13341443
Kagi LLM Benchmark59.8%—

Math GLM-5V-Turbo leads

GLM-4.5V: 37.4 (#159), GLM-5V-Turbo: 39.4 (#106)

Math benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Math13541441

Knowledge GLM-5V-Turbo leads

GLM-4.5V: 37.5 (#156), GLM-5V-Turbo: 40.6 (#117)

Knowledge benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Expert13531452

Multimodal GLM-5V-Turbo leads

GLM-4.5V: 34.3 (#92), GLM-5V-Turbo: 40.9 (#42)

Multimodal benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Vision11541264
LMArena Document—1416

Multilingual GLM-5V-Turbo leads

GLM-4.5V: 44.6 (#177), GLM-5V-Turbo: 53.0 (#73)

Multilingual benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Non-English13031420
LMArena Chinese13371488
LMArena Russian12981431
LMArena Spanish13361450
LMArena French—1444
LMArena German—1423
LMArena Korean—1396

Instruction Following GLM-5V-Turbo leads

GLM-4.5V: 69.2 (#175), GLM-5V-Turbo: 75.0 (#80)

Instruction Following benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Instruction Following13111423

Long Context GLM-5V-Turbo leads

GLM-4.5V: 39.6 (#171), GLM-5V-Turbo: 44.0 (#80)

Long Context benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Longer Query13041438

Writing & Preference GLM-5V-Turbo leads

GLM-4.5V: 52.5 (#170), GLM-5V-Turbo: 62.5 (#73)

Writing & Preference benchmarks
BenchmarkGLM-4.5VGLM-5V-Turbo
LMArena Text13331437
LMArena Creative Writing12951416
LMArena Multi-Turn13321432

Frequently asked questions

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

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 39.8 on the Noometry Index. GLM-4.5V costs 2.1× 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-4.5V or GLM-5V-Turbo?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

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

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 64K.

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

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GLM-5V-Turbo has 19.

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