Model comparison

GLM-5V-Turbo vs Qwen2.5-Max

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 40.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

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

43.8

Rank #84 Confirmed

Qwen2.5-Max Alibaba (Qwen)

40.7

Rank #146 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and Qwen2.5-Max in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 55.4.

Side by side

GLM-5V-Turbo and Qwen2.5-Max specifications
GLM-5V-TurboQwen2.5-Max
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index43.840.7
Released2026-04-012025-01-25
WeightsProprietaryProprietary
Context window200K—
Max output131K—
Input $ / M tokens$1.20—
Output $ / M tokens$4—
Results tracked1927

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Category by category

Coding Too close to call

GLM-5V-Turbo: 42.1 (#111), Qwen2.5-Max: 41.8 (#117)

Coding benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Coding14661359
LMArena WebDev1401—
LiveBench Coding—64.4%

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 29.7 (#89), Qwen2.5-Max: 25.6 (#147)

Reasoning benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Hard Prompts14431360
LiveBench Reasoning—51.4%
LiveBench Data Analysis—67.9%
Epoch Capabilities Index—132.53
LiveBench—62.3%

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 39.4 (#106), Qwen2.5-Max: 36.9 (#162)

Math benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Math14411369
LiveBench Math—58.4%

Knowledge GLM-5V-Turbo leads

GLM-5V-Turbo: 40.6 (#117), Qwen2.5-Max: 35.3 (#186)

Knowledge benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Expert14521337
Confabulations—21.8%

Multimodal Not comparable

GLM-5V-Turbo: 40.9 (#42), Qwen2.5-Max: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Vision1264—
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.0 (#73), Qwen2.5-Max: 48.1 (#146)

Multilingual benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Non-English14201352
LMArena Chinese14881382
LMArena French14441396
LMArena German14231350
LMArena Korean13961304
LMArena Russian14311353
LMArena Spanish14501377
LMArena Japanese—1300

Instruction Following GLM-5V-Turbo leads

GLM-5V-Turbo: 75.0 (#80), Qwen2.5-Max: 71.3 (#152)

Instruction Following benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Instruction Following14231335
LiveBench Instruction Following—75.3%

Long Context GLM-5V-Turbo leads

GLM-5V-Turbo: 44.0 (#80), Qwen2.5-Max: 41.4 (#142)

Long Context benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Longer Query14381358

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.5 (#73), Qwen2.5-Max: 55.4 (#146)

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboQwen2.5-Max
LMArena Text14371367
LMArena Creative Writing14161339
LMArena Multi-Turn14321364
Short-Story Creative Writing—72.9%
LiveBench Language—56.3%

Frequently asked questions

Is GLM-5V-Turbo better than Qwen2.5-Max?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 40.7 on the Noometry Index.

Is GLM-5V-Turbo or Qwen2.5-Max better for coding?

They score almost the same on coding (42.1 vs 41.8); test both on your own repository before choosing.

How many benchmarks do GLM-5V-Turbo and Qwen2.5-Max share?

16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen2.5-Max has 27.

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