Noometry

Model comparison

GLM-4.5-Air vs GLM-4.5V

GLM-4.5-Air and GLM-4.5V score almost the same on the Noometry Index (38.9 vs 39.8), so choose on price, context window or the category you care about most.

Last verified . 14 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5-Air scores higher in 4 categories and GLM-4.5V in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-4.5V leads 39.5 to 33.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 43% for GLM-4.5-Air and 59.8% for GLM-4.5V.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • GLM-4.5-Air accepts more context: 131K tokens versus 64K.

Side by side

GLM-4.5-AirGLM-4.5V
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index38.939.8
Released2025-07-202025-08-11
WeightsOpenOpen
Context window131K64K
Max output98K16K
Input $ / M tokens$0.20$0.60
Output $ / M tokens$1.10$1.80
Results tracked2715

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Category by category

Coding GLM-4.5V leads

GLM-4.5-Air: 33.3 (#259), GLM-4.5V: 39.5 (#155)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Coding13971347
GSO2.9%—

Reasoning GLM-4.5V leads

GLM-4.5-Air: 24.1 (#166), GLM-4.5V: 27.4 (#119)

BenchmarkGLM-4.5-AirGLM-4.5V
Kagi LLM Benchmark43%59.8%
LMArena Hard Prompts13791334
ForecastBench59.2—

Math GLM-4.5V leads

GLM-4.5-Air: 36.2 (#170), GLM-4.5V: 37.4 (#159)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Math13961354
Omni-MATH39.1%—

Knowledge GLM-4.5V leads

GLM-4.5-Air: 35.0 (#191), GLM-4.5V: 37.5 (#156)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Expert13701353
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multimodal Not comparable

GLM-4.5-Air: —, GLM-4.5V: 34.3 (#92)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Vision—1154

Multilingual GLM-4.5-Air leads

GLM-4.5-Air: 49.1 (#135), GLM-4.5V: 44.6 (#177)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Non-English13661303
LMArena Chinese14261337
LMArena Russian13731298
LMArena Spanish13861336
LMArena French1399—
LMArena German1377—
LMArena Japanese1348—
LMArena Korean1308—

Instruction Following Too close to call

GLM-4.5-Air: 69.6 (#171), GLM-4.5V: 69.2 (#175)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Instruction Following13541311
IFEval81.2%—

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#135), GLM-4.5V: 39.6 (#171)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Longer Query13661304

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 55.9 (#139), GLM-4.5V: 52.5 (#170)

BenchmarkGLM-4.5-AirGLM-4.5V
LMArena Text13841333
LMArena Creative Writing13431295
LMArena Multi-Turn13711332
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than GLM-4.5V?

GLM-4.5-Air and GLM-4.5V score almost the same on the Noometry Index (38.9 vs 39.8), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.5-Air or GLM-4.5V?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5-Air or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

GLM-4.5-Air does, with 131K tokens against 64K.

How many benchmarks do GLM-4.5-Air and GLM-4.5V share?

14 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and GLM-4.5V has 15.

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