Noometry

Model comparison

GLM-4.5-Air vs GPT-5.2 Codex

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 38.9 on the Noometry Index. GLM-4.5-Air costs 11× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

GPT-5.2 Codex OpenAI

42.6

Rank #111 Reported

Summary

  • The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 33.3.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
  • GPT-5.2 Codex accepts more context: 400K tokens versus 131K.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

GLM-4.5-AirGPT-5.2 Codex
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.942.6
Released2025-07-202025-12-18
WeightsOpenProprietary
Context window131K400K
Max output98K128K
Input $ / M tokens$0.20$1.75
Output $ / M tokens$1.10$14
Results tracked275

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Category by category

Coding GPT-5.2 Codex leads

GLM-4.5-Air: 33.3 (#259), GPT-5.2 Codex: 45.5 (#71)

BenchmarkGLM-4.5-AirGPT-5.2 Codex
SWE-bench Verified (bash only)—72.8%
LMArena WebDev—1339
SWE-bench Multilingual—66.3%
GSO2.9%—
LMArena Coding1397—
ALE-Bench—1,300

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, GPT-5.2 Codex: 41.0 (#22)

BenchmarkGLM-4.5-AirGPT-5.2 Codex
Terminal-Bench—66.5%

Reasoning Not comparable

GLM-4.5-Air: 24.1 (#166), GPT-5.2 Codex: —

BenchmarkGLM-4.5-AirGPT-5.2 Codex
Kagi LLM Benchmark43%—
LMArena Hard Prompts1379—
ForecastBench59.2—

Math Not comparable

GLM-4.5-Air: 36.2 (#170), GPT-5.2 Codex: —

BenchmarkGLM-4.5-AirGPT-5.2 Codex
Omni-MATH39.1%—
LMArena Math1396—

Knowledge Not comparable

GLM-4.5-Air: 35.0 (#191), GPT-5.2 Codex: —

BenchmarkGLM-4.5-AirGPT-5.2 Codex
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—
LMArena Expert1370—

Multilingual Not comparable

GLM-4.5-Air: 49.1 (#135), GPT-5.2 Codex: —

BenchmarkGLM-4.5-AirGPT-5.2 Codex
LMArena Non-English1366—
LMArena Chinese1426—
LMArena French1399—
LMArena German1377—
LMArena Japanese1348—
LMArena Korean1308—
LMArena Russian1373—
LMArena Spanish1386—

Instruction Following Not comparable

GLM-4.5-Air: 69.6 (#171), GPT-5.2 Codex: —

BenchmarkGLM-4.5-AirGPT-5.2 Codex
IFEval81.2%—
LMArena Instruction Following1354—

Long Context Not comparable

GLM-4.5-Air: 41.6 (#135), GPT-5.2 Codex: —

BenchmarkGLM-4.5-AirGPT-5.2 Codex
LMArena Longer Query1366—

Writing & Preference Not comparable

GLM-4.5-Air: 55.9 (#139), GPT-5.2 Codex: —

BenchmarkGLM-4.5-AirGPT-5.2 Codex
LMArena Text1384—
LMArena Creative Writing1343—
WildBench78.9%—
LMArena Multi-Turn1371—

Frequently asked questions

Is GLM-4.5-Air better than GPT-5.2 Codex?

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 38.9 on the Noometry Index. GLM-4.5-Air costs 11× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5-Air or GPT-5.2 Codex?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GLM-4.5-Air or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 131K.

How many benchmarks do GLM-4.5-Air and GPT-5.2 Codex share?

0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and GPT-5.2 Codex has 5.

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