Model comparison

GLM-5V-Turbo vs GPT-5.2 Codex

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 42.6 on the Noometry Index.

Last verified . 1 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

GPT-5.2 Codex OpenAI

42.6

Rank #111 Reported

Summary

  • They share 1 benchmark with published results for both. GLM-5V-Turbo scores higher in 0 categories and GPT-5.2 Codex in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 42.1.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
  • GPT-5.2 Codex accepts more context: 400K tokens versus 200K.

Side by side

GLM-5V-Turbo and GPT-5.2 Codex specifications
GLM-5V-TurboGPT-5.2 Codex
ProviderZ.ai (Zhipu)OpenAI
Noometry Index43.842.6
Released2026-04-012025-12-18
WeightsProprietaryProprietary
Context window200K400K
Max output131K128K
Input $ / M tokens$1.20$1.75
Output $ / M tokens$4$14
Results tracked195

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Category by category

Coding GPT-5.2 Codex leads

GLM-5V-Turbo: 42.1 (#111), GPT-5.2 Codex: 45.5 (#71)

Coding benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena WebDev14011339
SWE-bench Verified (bash only)—72.8%
SWE-bench Multilingual—66.3%
LMArena Coding1466—
ALE-Bench—1,300

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, GPT-5.2 Codex: 41.0 (#22)

Agentic & Tool Use benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
Terminal-Bench—66.5%

Reasoning Not comparable

GLM-5V-Turbo: 29.7 (#89), GPT-5.2 Codex: —

Reasoning benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Hard Prompts1443—

Math Not comparable

GLM-5V-Turbo: 39.4 (#106), GPT-5.2 Codex: —

Math benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Math1441—

Knowledge Not comparable

GLM-5V-Turbo: 40.6 (#117), GPT-5.2 Codex: —

Knowledge benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Expert1452—

Multimodal Not comparable

GLM-5V-Turbo: 40.9 (#42), GPT-5.2 Codex: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Vision1264—
LMArena Document1416—

Multilingual Not comparable

GLM-5V-Turbo: 53.0 (#73), GPT-5.2 Codex: —

Multilingual benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Non-English1420—
LMArena Chinese1488—
LMArena French1444—
LMArena German1423—
LMArena Korean1396—
LMArena Russian1431—
LMArena Spanish1450—

Instruction Following Not comparable

GLM-5V-Turbo: 75.0 (#80), GPT-5.2 Codex: —

Instruction Following benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Instruction Following1423—

Long Context Not comparable

GLM-5V-Turbo: 44.0 (#80), GPT-5.2 Codex: —

Long Context benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Longer Query1438—

Writing & Preference Not comparable

GLM-5V-Turbo: 62.5 (#73), GPT-5.2 Codex: —

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboGPT-5.2 Codex
LMArena Text1437—
LMArena Creative Writing1416—
LMArena Multi-Turn1432—

Frequently asked questions

Is GLM-5V-Turbo better than GPT-5.2 Codex?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 42.6 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or GPT-5.2 Codex?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GLM-5V-Turbo or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 42.1 in the Noometry coding category.

Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and GPT-5.2 Codex share?

1 benchmark has published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-5.2 Codex has 5.

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