Model comparison

GLM-4.7-Flash vs GPT-5.1-Codex

GLM-4.7-Flash and GPT-5.1-Codex score almost the same on the Noometry Index (38.8 vs 38.6), so choose on price, context window or the category you care about most.

Last verified . 0 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

GPT-5.1-Codex OpenAI

38.6

Rank #186 Reported

Summary

  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 30.3.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 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.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-Flash and GPT-5.1-Codex specifications
GLM-4.7-FlashGPT-5.1-Codex
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.838.6
Released2026-01-192025-11-12
WeightsOpenProprietary
Context window200K400K
Max output131K128K
Input $ / M tokens$0.06$1.25
Output $ / M tokens$0.40$10
Results tracked216

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Category by category

Coding GPT-5.1-Codex leads

GLM-4.7-Flash: 40.6 (#135), GPT-5.1-Codex: 41.9 (#116)

Coding benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
SWE-bench Verified (bash only)—66%
LMArena WebDev—1337
LMArena Coding1383—
ALE-Bench—1,245

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GPT-5.1-Codex: 38.0 (#33)

Agentic & Tool Use benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
Terminal-Bench—60.4%
METR Time Horizons—70.8%

Reasoning Not comparable

GLM-4.7-Flash: 20.9 (#229), GPT-5.1-Codex: —

Reasoning benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
Chess Puzzles0%—
LMArena Hard Prompts1356—

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), GPT-5.1-Codex: 30.3 (#235)

Math benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
OTIS Mock AIME 2024-202558.3%—
ProofBench—9%
LMArena Math1355—

Knowledge Not comparable

GLM-4.7-Flash: 35.5 (#184), GPT-5.1-Codex: —

Knowledge benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
GPQA Diamond60.5%—
Vectara Hallucination Rate9.3%—
LMArena Expert1357—

Multilingual Not comparable

GLM-4.7-Flash: 46.5 (#158), GPT-5.1-Codex: —

Multilingual benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
LMArena Non-English1330—
LMArena Chinese1403—
LMArena French1332—
LMArena German1337—
LMArena Korean1283—
LMArena Russian1332—
LMArena Spanish1350—

Instruction Following Not comparable

GLM-4.7-Flash: 70.1 (#167), GPT-5.1-Codex: —

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
LMArena Instruction Following1327—

Long Context Not comparable

GLM-4.7-Flash: 40.9 (#148), GPT-5.1-Codex: —

Long Context benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
LMArena Longer Query1345—

Writing & Preference Not comparable

GLM-4.7-Flash: 47.4 (#210), GPT-5.1-Codex: —

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashGPT-5.1-Codex
LMArena Text1351—
LMArena Creative Writing1297—
EQ-Bench Creative Writing1125—
LMArena Multi-Turn1342—

Frequently asked questions

Is GLM-4.7-Flash better than GPT-5.1-Codex?

GLM-4.7-Flash and GPT-5.1-Codex score almost the same on the Noometry Index (38.8 vs 38.6), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.7-Flash or GPT-5.1-Codex?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.

Is GLM-4.7-Flash or GPT-5.1-Codex better for coding?

GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GLM-4.7-Flash and GPT-5.1-Codex share?

0 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-5.1-Codex has 6.

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