Model comparison

GLM-5V-Turbo vs GPT-5.1-Codex

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index.

Last verified . 1 shared benchmarks.

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

43.8

Rank #84 Confirmed

GPT-5.1-Codex OpenAI

38.6

Rank #186 Reported

Summary

  • They share 1 benchmark with published results for both. GLM-5V-Turbo scores higher in 2 categories and GPT-5.1-Codex in 0 categories; one gap is clear of the uncertainty.
  • The widest gap is in math, where GLM-5V-Turbo leads 39.4 to 30.3.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
  • GPT-5.1-Codex accepts more context: 400K tokens versus 200K.

Side by side

GLM-5V-Turbo and GPT-5.1-Codex specifications
GLM-5V-TurboGPT-5.1-Codex
ProviderZ.ai (Zhipu)OpenAI
Noometry Index43.838.6
Released2026-04-012025-11-12
WeightsProprietaryProprietary
Context window200K400K
Max output131K128K
Input $ / M tokens$1.20$1.25
Output $ / M tokens$4$10
Results tracked196

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Category by category

Coding Too close to call

GLM-5V-Turbo: 42.1 (#111), GPT-5.1-Codex: 41.9 (#116)

Coding benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
LMArena WebDev14011337
SWE-bench Verified (bash only)—66%
LMArena Coding1466—
ALE-Bench—1,245

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, GPT-5.1-Codex: 38.0 (#33)

Agentic & Tool Use benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
Terminal-Bench—60.4%
METR Time Horizons—70.8%

Reasoning Not comparable

GLM-5V-Turbo: 29.7 (#89), GPT-5.1-Codex: —

Reasoning benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
LMArena Hard Prompts1443—

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 39.4 (#106), GPT-5.1-Codex: 30.3 (#235)

Math benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
ProofBench—9%
LMArena Math1441—

Knowledge Not comparable

GLM-5V-Turbo: 40.6 (#117), GPT-5.1-Codex: —

Knowledge benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
LMArena Expert1452—

Multimodal Not comparable

GLM-5V-Turbo: 40.9 (#42), GPT-5.1-Codex: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
LMArena Vision1264—
LMArena Document1416—

Multilingual Not comparable

GLM-5V-Turbo: 53.0 (#73), GPT-5.1-Codex: —

Multilingual benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-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-5.1-Codex: —

Instruction Following benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
LMArena Instruction Following1423—

Long Context Not comparable

GLM-5V-Turbo: 44.0 (#80), GPT-5.1-Codex: —

Long Context benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
LMArena Longer Query1438—

Writing & Preference Not comparable

GLM-5V-Turbo: 62.5 (#73), GPT-5.1-Codex: —

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboGPT-5.1-Codex
LMArena Text1437—
LMArena Creative Writing1416—
LMArena Multi-Turn1432—

Frequently asked questions

Is GLM-5V-Turbo better than GPT-5.1-Codex?

GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or GPT-5.1-Codex?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.

Is GLM-5V-Turbo or GPT-5.1-Codex better for coding?

They score almost the same on coding (42.1 vs 41.9); test both on your own repository before choosing.

Which has the bigger context window?

GPT-5.1-Codex does, with 400K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and GPT-5.1-Codex share?

1 benchmark has published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-5.1-Codex has 6.

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