Model comparison

GLM-5V-Turbo vs QwQ-32B

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 39.8 on the Noometry Index.

Last verified . 16 shared benchmarks.

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

43.8

Rank #84 Confirmed

QwQ-32B Alibaba (Qwen)

39.8

Rank #159 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 7 categories and QwQ-32B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.5 to 50.6.
  • QwQ-32B has downloadable open weights; the other is API-only.

Side by side

GLM-5V-Turbo and QwQ-32B specifications
GLM-5V-TurboQwQ-32B
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index43.839.8
Released2026-04-012024-11-28
WeightsProprietaryOpen
Context window200K—
Max output131K—
Input $ / M tokens$1.20—
Output $ / M tokens$4—
Results tracked1936

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Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 42.1 (#111), QwQ-32B: 35.4 (#226)

Coding benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Coding14661333
Aider Polyglot—20.9%
LMArena WebDev1401—
BigCodeBench Instruct—44.6%
LiveBench Coding—72.2%
BigCodeBench Complete—54.4%

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 29.7 (#89), QwQ-32B: 23.7 (#174)

Reasoning benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Hard Prompts14431325
Chess Puzzles—5%
LiveBench Reasoning—83.5%
LiveBench Data Analysis—65%
Epoch Capabilities Index—137.6
ForecastBench—58.3
LiveBench—72%

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 39.4 (#106), QwQ-32B: 38.0 (#143)

Math benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Math14411359
OTIS Mock AIME 2024-2025—59.2%
LiveBench Math—77.8%

Knowledge GLM-5V-Turbo leads

GLM-5V-Turbo: 40.6 (#117), QwQ-32B: 37.2 (#158)

Knowledge benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Expert14521324
GPQA Diamond—65.3%
Confabulations—15.6%

Multimodal Not comparable

GLM-5V-Turbo: 40.9 (#42), QwQ-32B: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Vision1264—
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.0 (#73), QwQ-32B: 44.8 (#176)

Multilingual benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Non-English14201305
LMArena Chinese14881378
LMArena French14441336
LMArena German14231313
LMArena Korean13961279
LMArena Russian14311297
LMArena Spanish14501354
LMArena Japanese—1262

Instruction Following GLM-5V-Turbo leads

GLM-5V-Turbo: 75.0 (#80), QwQ-32B: 72.6 (#137)

Instruction Following benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Instruction Following14231297
LiveBench Instruction Following—81.8%

Long Context QwQ-32B leads

GLM-5V-Turbo: 44.0 (#80), QwQ-32B: 49.0 (#11)

Long Context benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Longer Query14381308
Fiction.LiveBench—83.3%

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.5 (#73), QwQ-32B: 50.6 (#180)

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboQwQ-32B
LMArena Text14371329
LMArena Creative Writing14161288
LMArena Multi-Turn14321314
Short-Story Creative Writing—80.2%
EQ-Bench Creative Writing—1257
LiveBench Language—51.4%

Frequently asked questions

Is GLM-5V-Turbo better than QwQ-32B?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 39.8 on the Noometry Index.

Is GLM-5V-Turbo or QwQ-32B better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 35.4 in the Noometry coding category.

How many benchmarks do GLM-5V-Turbo and QwQ-32B share?

16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and QwQ-32B has 36.

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