Model comparison

GLM-4.5V vs QwQ-32B

GLM-4.5V and QwQ-32B score almost the same on the Noometry Index (39.8 vs 39.8), so choose on price, context window or the category you care about most.

Last verified . 13 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

QwQ-32B Alibaba (Qwen)

39.8

Rank #159 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 4 categories and QwQ-32B in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in long context, where QwQ-32B leads 49.0 to 39.6.

Side by side

GLM-4.5V and QwQ-32B specifications
GLM-4.5VQwQ-32B
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index39.839.8
Released2025-08-112024-11-28
WeightsOpenOpen
Context window64K—
Max output16K—
Input $ / M tokens$0.60—
Output $ / M tokens$1.80—
Results tracked1536

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 39.5 (#155), QwQ-32B: 35.4 (#226)

Coding benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Coding13471333
Aider Polyglot—20.9%
BigCodeBench Instruct—44.6%
LiveBench Coding—72.2%
BigCodeBench Complete—54.4%

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), QwQ-32B: 23.7 (#174)

Reasoning benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Hard Prompts13341325
Kagi LLM Benchmark59.8%—
Chess Puzzles—5%
LiveBench Reasoning—83.5%
LiveBench Data Analysis—65%
Epoch Capabilities Index—137.6
ForecastBench—58.3
LiveBench—72%

Math Too close to call

GLM-4.5V: 37.4 (#159), QwQ-32B: 38.0 (#143)

Math benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Math13541359
OTIS Mock AIME 2024-2025—59.2%
LiveBench Math—77.8%

Knowledge Too close to call

GLM-4.5V: 37.5 (#156), QwQ-32B: 37.2 (#158)

Knowledge benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Expert13531324
GPQA Diamond—65.3%
Confabulations—15.6%

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), QwQ-32B: —

Multimodal benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Vision1154—

Multilingual Too close to call

GLM-4.5V: 44.6 (#177), QwQ-32B: 44.8 (#176)

Multilingual benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Non-English13031305
LMArena Chinese13371378
LMArena Russian12981297
LMArena Spanish13361354
LMArena French—1336
LMArena German—1313
LMArena Japanese—1262
LMArena Korean—1279

Instruction Following QwQ-32B leads

GLM-4.5V: 69.2 (#175), QwQ-32B: 72.6 (#137)

Instruction Following benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Instruction Following13111297
LiveBench Instruction Following—81.8%

Long Context QwQ-32B leads

GLM-4.5V: 39.6 (#171), QwQ-32B: 49.0 (#11)

Long Context benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Longer Query13041308
Fiction.LiveBench—83.3%

Writing & Preference GLM-4.5V leads

GLM-4.5V: 52.5 (#170), QwQ-32B: 50.6 (#180)

Writing & Preference benchmarks
BenchmarkGLM-4.5VQwQ-32B
LMArena Text13331329
LMArena Creative Writing12951288
LMArena Multi-Turn13321314
Short-Story Creative Writing—80.2%
EQ-Bench Creative Writing—1257
LiveBench Language—51.4%

Frequently asked questions

Is GLM-4.5V better than QwQ-32B?

GLM-4.5V and QwQ-32B score almost the same on the Noometry Index (39.8 vs 39.8), so choose on price, context window or the category you care about most.

Is GLM-4.5V or QwQ-32B better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.4 in the Noometry coding category.

How many benchmarks do GLM-4.5V and QwQ-32B share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and QwQ-32B has 36.

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