Noometry

Model comparison

GLM-4.6 vs GPT-4

GLM-4.6 is the stronger model overall, scoring 41.4 to 29.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

GPT-4 OpenAI

29.1

Rank #316 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and GPT-4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.6 leads 39.1 to 10.8.
  • GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $30 / $60 for GPT-4.
  • GLM-4.6 accepts more context: 205K tokens versus 8K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6GPT-4
ProviderZ.ai (Zhipu)OpenAI
Noometry Index41.429.1
Released2025-09-302023-03-14
WeightsOpenProprietary
Context window205K8K
Max output131K8K
Input $ / M tokens$0.60$30
Output $ / M tokens$2.20$60
Results tracked2938

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Category by category

Coding GLM-4.6 leads

GLM-4.6: 40.1 (#148), GPT-4: 31.6 (#283)

BenchmarkGLM-4.6GPT-4
LMArena Coding14491254
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1340—
SciCode38.4%—
WeirdML—12.4%
BigCodeBench Instruct—46%
BigCodeBench Complete—57.2%
ALE-Bench340.82—
HumanEval+—79.3%

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), GPT-4: —

BenchmarkGLM-4.6GPT-4
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—
METR Time Horizons—36.1%

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), GPT-4: 17.8 (#289)

BenchmarkGLM-4.6GPT-4
LMArena Hard Prompts14401241
Kagi LLM Benchmark47.4%—
CritPt1.1%—
Chess Puzzles—4%
Mystery Game Puzzles—12%
DTBench—62.7%
LMCA—17.1%
BIG-Bench Hard—75.1%
Epoch Capabilities Index—125.89
ForecastBench—57.8
HellaSwag—95.3%
WinoGrande—87.5%

Math GLM-4.6 leads

GLM-4.6: 39.1 (#111), GPT-4: 10.8 (#309)

BenchmarkGLM-4.6GPT-4
LMArena Math14321269
OTIS Mock AIME 2024-2025—1.1%
MATH Level 5—23%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—
GSM8K—92%

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), GPT-4: 18.4 (#282)

BenchmarkGLM-4.6GPT-4
LMArena Expert14311211
GPQA Diamond—35.7%
Vectara Hallucination Rate9.5%—
MMLU—86.4%
TriviaQA—84.8%

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), GPT-4: 40.6 (#215)

BenchmarkGLM-4.6GPT-4
LMArena Non-English14261246
LMArena Chinese14991242
LMArena French14591283
LMArena German14471251
LMArena Japanese13931209
LMArena Korean14001184
LMArena Russian14191251
LMArena Spanish14361261

Instruction Following GLM-4.6 leads

GLM-4.6: 74.3 (#98), GPT-4: 65.3 (#222)

BenchmarkGLM-4.6GPT-4
LMArena Instruction Following14101241

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#94), GPT-4: 37.7 (#212)

BenchmarkGLM-4.6GPT-4
LMArena Longer Query14221244

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.1 (#90), GPT-4: 34.9 (#268)

BenchmarkGLM-4.6GPT-4
LMArena Text14401263
LMArena Creative Writing14111244
EQ-Bench Creative Writing1411752
LMArena Multi-Turn14271257

Frequently asked questions

Is GLM-4.6 better than GPT-4?

GLM-4.6 is the stronger model overall, scoring 41.4 to 29.1 on the Noometry Index.

Which is cheaper, GLM-4.6 or GPT-4?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-4 lists at $30 and $60.

Is GLM-4.6 or GPT-4 better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 8K.

How many benchmarks do GLM-4.6 and GPT-4 share?

18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-4 has 38.

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