Model comparison

GLM-4.5-Air vs GLM-4.6V

GLM-4.6V is the stronger model overall, scoring 40.9 to 38.7 on the Noometry Index.

Last verified . 11 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-4.5-Air scores higher in 2 categories and GLM-4.6V in 5 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-4.6V leads 40.2 to 34.5.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
  • GLM-4.5-Air accepts more context: 131K tokens versus 128K.

Side by side

GLM-4.5-Air and GLM-4.6V specifications
GLM-4.5-AirGLM-4.6V
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index38.740.9
Released2025-07-202025-12-08
WeightsOpenOpen
Context window131K128K
Max output98K33K
Input $ / M tokens$0.20$0.30
Output $ / M tokens$1.10$0.90
Results tracked2712

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Category by category

Coding GLM-4.6V leads

GLM-4.5-Air: 34.5 (#225), GLM-4.6V: 40.2 (#128)

Coding benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Coding13971390
GSO2.9%—

Reasoning GLM-4.6V leads

GLM-4.5-Air: 23.3 (#166), GLM-4.6V: 26.5 (#117)

Reasoning benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Hard Prompts13791368
Kagi LLM Benchmark43%—
ForecastBench59.2—

Math Not comparable

GLM-4.5-Air: 33.8 (#166), GLM-4.6V: —

Math benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
Omni-MATH39.1%—
LMArena Math1396—

Knowledge GLM-4.6V leads

GLM-4.5-Air: 34.6 (#184), GLM-4.6V: 37.4 (#148)

Knowledge benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Expert13701372
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multimodal Not comparable

GLM-4.5-Air: —, GLM-4.6V: 34.2 (#83)

Multimodal benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Vision—1164

Multilingual Too close to call

GLM-4.5-Air: 49.4 (#130), GLM-4.6V: 48.8 (#135)

Multilingual benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Non-English13661359
LMArena Chinese14271426
LMArena Russian13731341
LMArena French1399—
LMArena German1376—
LMArena Japanese1348—
LMArena Korean1306—
LMArena Spanish1385—

Instruction Following GLM-4.6V leads

GLM-4.5-Air: 69.8 (#165), GLM-4.6V: 71.6 (#145)

Instruction Following benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Instruction Following13531351
IFEval81.2%—

Long Context Too close to call

GLM-4.5-Air: 41.6 (#130), GLM-4.6V: 41.3 (#138)

Long Context benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Longer Query13671358

Writing & Preference Too close to call

GLM-4.5-Air: 56.1 (#134), GLM-4.6V: 56.8 (#132)

Writing & Preference benchmarks
BenchmarkGLM-4.5-AirGLM-4.6V
LMArena Text13841377
LMArena Creative Writing13431347
LMArena Multi-Turn13711359
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 40.9 to 38.7 on the Noometry Index.

Which is cheaper, GLM-4.5-Air or GLM-4.6V?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is GLM-4.5-Air or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.2 versus 34.5 in the Noometry coding category.

Which has the bigger context window?

GLM-4.5-Air does, with 131K tokens against 128K.

How many benchmarks do GLM-4.5-Air and GLM-4.6V share?

11 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and GLM-4.6V has 12.

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