Noometry

Model comparison

GLM-4.5 vs GLM-4.5-Air

GLM-4.5 is the stronger model overall, scoring 41.4 to 38.7 on the Noometry Index. GLM-4.5-Air costs 2.4× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Last verified . 19 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

41.4

Rank #125 Confirmed

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-4.5 scores higher in 7 categories and GLM-4.5-Air in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-4.5 leads 41.1 to 34.5.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 43% for GLM-4.5-Air.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.

Side by side

GLM-4.5GLM-4.5-Air
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index41.438.7
Released2025-07-272025-07-20
WeightsOpenOpen
Context window131K131K
Max output98K98K
Input $ / M tokens$0.60$0.20
Output $ / M tokens$2.20$1.10
Results tracked2727

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.1 (#121), GLM-4.5-Air: 34.5 (#225)

BenchmarkGLM-4.5GLM-4.5-Air
LMArena Coding14341397
SWE-bench Verified (bash only)54.2%—
GSO—2.9%
WeirdML40.6%—
ALE-Bench344.82—
AlgoTune1.52—

Reasoning GLM-4.5 leads

GLM-4.5: 27.7 (#99), GLM-4.5-Air: 23.3 (#166)

BenchmarkGLM-4.5GLM-4.5-Air
Kagi LLM Benchmark57.9%43%
LMArena Hard Prompts14301379
ForecastBench—59.2

Math GLM-4.5 leads

GLM-4.5: 36.3 (#119), GLM-4.5-Air: 33.8 (#166)

BenchmarkGLM-4.5GLM-4.5-Air
LMArena Math14271396
Omni-MATH—39.1%

Knowledge Too close to call

GLM-4.5: 35.5 (#172), GLM-4.5-Air: 34.6 (#184)

BenchmarkGLM-4.5GLM-4.5-Air
Humanity's Last Exam8.3%8.1%
LMArena Expert14331370
MMLU-Pro—76.2%
Confabulations11.3%—
Vectara Hallucination Rate—9.3%
GPQA (HELM)—59.4%

Multilingual GLM-4.5 leads

GLM-4.5: 53.0 (#74), GLM-4.5-Air: 49.4 (#130)

BenchmarkGLM-4.5GLM-4.5-Air
LMArena Non-English14171366
LMArena Chinese14651427
LMArena French14231399
LMArena German14061376
LMArena Japanese14161348
LMArena Korean13821306
LMArena Russian14141373
LMArena Spanish14541385

Instruction Following GLM-4.5 leads

GLM-4.5: 74.3 (#100), GLM-4.5-Air: 69.8 (#165)

BenchmarkGLM-4.5GLM-4.5-Air
LMArena Instruction Following14051353
IFEval—81.2%

Long Context GLM-4.5-Air leads

GLM-4.5: 38.2 (#196), GLM-4.5-Air: 41.6 (#130)

BenchmarkGLM-4.5GLM-4.5-Air
LMArena Longer Query14131367
Fiction.LiveBench58.3%—

Writing & Preference GLM-4.5 leads

GLM-4.5: 57.7 (#121), GLM-4.5-Air: 56.1 (#134)

BenchmarkGLM-4.5GLM-4.5-Air
LMArena Text14301384
LMArena Creative Writing13951343
LMArena Multi-Turn14151371
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—
WildBench—78.9%

Frequently asked questions

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

GLM-4.5 is the stronger model overall, scoring 41.4 to 38.7 on the Noometry Index. GLM-4.5-Air costs 2.4× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

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

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

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

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 34.5 in the Noometry coding category.

Which has the bigger context window?

Both accept 131K tokens.

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

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

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