Model comparison

GLM-4.6V vs GLM-5V-Turbo

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index. GLM-4.6V costs 4.2× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

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

43.8

Rank #84 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and GLM-5V-Turbo in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in multimodal, where GLM-5V-Turbo leads 40.9 to 34.8.
  • GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

GLM-4.6V and GLM-5V-Turbo specifications
GLM-4.6VGLM-5V-Turbo
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index41.343.8
Released2025-12-082026-04-01
WeightsOpenProprietary
Context window128K200K
Max output33K131K
Input $ / M tokens$0.30$1.20
Output $ / M tokens$0.90$4
Results tracked1219

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Category by category

Coding GLM-5V-Turbo leads

GLM-4.6V: 40.9 (#128), GLM-5V-Turbo: 42.1 (#111)

Coding benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Coding13901466
LMArena WebDev—1401

Reasoning GLM-5V-Turbo leads

GLM-4.6V: 27.6 (#115), GLM-5V-Turbo: 29.7 (#89)

Reasoning benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Hard Prompts13681443

Math Not comparable

GLM-4.6V: —, GLM-5V-Turbo: 39.4 (#106)

Math benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Math—1441

Knowledge GLM-5V-Turbo leads

GLM-4.6V: 38.0 (#149), GLM-5V-Turbo: 40.6 (#117)

Knowledge benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Expert13711452

Multimodal GLM-5V-Turbo leads

GLM-4.6V: 34.8 (#90), GLM-5V-Turbo: 40.9 (#42)

Multimodal benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Vision11641264
LMArena Document—1416

Multilingual GLM-5V-Turbo leads

GLM-4.6V: 48.6 (#141), GLM-5V-Turbo: 53.0 (#73)

Multilingual benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Non-English13591420
LMArena Chinese14251488
LMArena Russian13401431
LMArena French—1444
LMArena German—1423
LMArena Korean—1396
LMArena Spanish—1450

Instruction Following GLM-5V-Turbo leads

GLM-4.6V: 71.4 (#151), GLM-5V-Turbo: 75.0 (#80)

Instruction Following benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Instruction Following13521423

Long Context GLM-5V-Turbo leads

GLM-4.6V: 41.3 (#143), GLM-5V-Turbo: 44.0 (#80)

Long Context benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Longer Query13581438

Writing & Preference GLM-5V-Turbo leads

GLM-4.6V: 56.6 (#137), GLM-5V-Turbo: 62.5 (#73)

Writing & Preference benchmarks
BenchmarkGLM-4.6VGLM-5V-Turbo
LMArena Text13771437
LMArena Creative Writing13471416
LMArena Multi-Turn13601432

Frequently asked questions

Is GLM-4.6V better than GLM-5V-Turbo?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index. GLM-4.6V costs 4.2× 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-4.6V or GLM-5V-Turbo?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-4.6V or GLM-5V-Turbo better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 40.9 in the Noometry coding category.

Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 128K.

How many benchmarks do GLM-4.6V and GLM-5V-Turbo share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and GLM-5V-Turbo has 19.

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