Noometry

Model comparison

GLM-4.5-Air vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 38.7 on the Noometry Index. GLM-4.5-Air costs 11× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 56.1.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GLM-4.5-Air accepts more context: 131K tokens versus 128K.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

GLM-4.5-AirGPT-5.3 Chat
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.742.1
Released2025-07-202026-03-03
WeightsOpenProprietary
Context window131K128K
Max output98K16K
Input $ / M tokens$0.20$1.75
Output $ / M tokens$1.10$14
Results tracked2718

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-5.3 Chat leads

GLM-4.5-Air: 34.5 (#225), GPT-5.3 Chat: 40.8 (#124)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Coding13971408
GSO2.9%—

Reasoning GPT-5.3 Chat leads

GLM-4.5-Air: 23.3 (#166), GPT-5.3 Chat: 27.3 (#105)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Hard Prompts13791399
Kagi LLM Benchmark43%—
ForecastBench59.2—

Math GPT-5.3 Chat leads

GLM-4.5-Air: 33.8 (#166), GPT-5.3 Chat: 35.4 (#146)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Math13961389
Omni-MATH39.1%—

Knowledge GPT-5.3 Chat leads

GLM-4.5-Air: 34.6 (#184), GPT-5.3 Chat: 38.2 (#137)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Expert13701397
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multilingual GPT-5.3 Chat leads

GLM-4.5-Air: 49.4 (#130), GPT-5.3 Chat: 50.5 (#119)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Non-English13661383
LMArena Chinese14271433
LMArena French13991398
LMArena German13761384
LMArena Japanese13481351
LMArena Korean13061347
LMArena Russian13731400
LMArena Spanish13851371

Instruction Following GPT-5.3 Chat leads

GLM-4.5-Air: 69.8 (#165), GPT-5.3 Chat: 73.0 (#124)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Instruction Following13531378
IFEval81.2%—

Long Context Too close to call

GLM-4.5-Air: 41.6 (#130), GPT-5.3 Chat: 42.6 (#115)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Longer Query13671396

Writing & Preference GPT-5.3 Chat leads

GLM-4.5-Air: 56.1 (#134), GPT-5.3 Chat: 63.3 (#65)

BenchmarkGLM-4.5-AirGPT-5.3 Chat
LMArena Text13841389
LMArena Creative Writing13431356
LMArena Multi-Turn13711413
EQ-Bench Creative Writing—1690
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 38.7 on the Noometry Index. GLM-4.5-Air costs 11× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5-Air or GPT-5.3 Chat?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GLM-4.5-Air or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 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 GPT-5.3 Chat share?

17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and GPT-5.3 Chat has 18.

Related comparisons

Go deeper