Model comparison

GLM-4.5V vs Qwen1.5-7B

GLM-4.5V is the stronger model overall, scoring 39.2 to 30.8 on the Noometry Index.

Last verified . 12 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.2

Rank #158 Confirmed

Qwen1.5-7B Alibaba (Qwen)

30.8

Rank #270 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Qwen1.5-7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.5V leads 52.7 to 29.8.

Side by side

GLM-4.5V and Qwen1.5-7B specifications
GLM-4.5VQwen1.5-7B
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index39.230.8
Released2025-08-112024-02-04
WeightsOpenOpen
Context window64K—
Max output16K—
Input $ / M tokens$0.60—
Output $ / M tokens$1.80—
Results tracked1513

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 38.9 (#152), Qwen1.5-7B: 31.6 (#271)

Coding benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Coding13471107

Reasoning GLM-4.5V leads

GLM-4.5V: 26.5 (#118), Qwen1.5-7B: 19.5 (#237)

Reasoning benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Hard Prompts13351066
Kagi LLM Benchmark59.8%—

Math GLM-4.5V leads

GLM-4.5V: 34.7 (#157), Qwen1.5-7B: 29.0 (#222)

Math benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Math13531080

Knowledge GLM-4.5V leads

GLM-4.5V: 36.8 (#155), Qwen1.5-7B: 28.2 (#239)

Knowledge benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Expert13531055
MMLU—62.6%

Multimodal Not comparable

GLM-4.5V: 33.6 (#86), Qwen1.5-7B: —

Multimodal benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Vision1154—

Multilingual GLM-4.5V leads

GLM-4.5V: 44.9 (#172), Qwen1.5-7B: 28.6 (#266)

Multilingual benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Non-English13041058
LMArena Chinese13381140
LMArena Russian12991006
LMArena Spanish1335—

Instruction Following GLM-4.5V leads

GLM-4.5V: 69.4 (#170), Qwen1.5-7B: 54.4 (#276)

Instruction Following benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Instruction Following13111058

Long Context GLM-4.5V leads

GLM-4.5V: 39.6 (#166), Qwen1.5-7B: 33.1 (#261)

Long Context benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Longer Query13051090

Writing & Preference GLM-4.5V leads

GLM-4.5V: 52.7 (#162), Qwen1.5-7B: 29.8 (#288)

Writing & Preference benchmarks
BenchmarkGLM-4.5VQwen1.5-7B
LMArena Text13331084
LMArena Creative Writing12951035
LMArena Multi-Turn13331061

Frequently asked questions

Is GLM-4.5V better than Qwen1.5-7B?

GLM-4.5V is the stronger model overall, scoring 39.2 to 30.8 on the Noometry Index.

Is GLM-4.5V or Qwen1.5-7B better for coding?

GLM-4.5V scores higher on coding benchmarks: 38.9 versus 31.6 in the Noometry coding category.

How many benchmarks do GLM-4.5V and Qwen1.5-7B share?

12 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen1.5-7B has 13.

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