Noometry

Model comparison

GLM-4.6 vs GPT-4 Turbo

GLM-4.6 is the stronger model overall, scoring 41.4 to 30.5 on the Noometry Index.

Last verified . 17 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and GPT-4 Turbo in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.6 leads 39.1 to 9.0.
  • GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
  • GLM-4.6 accepts more context: 205K tokens versus 128K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6GPT-4 Turbo
ProviderZ.ai (Zhipu)OpenAI
Noometry Index41.430.5
Released2025-09-302023-11-06
WeightsOpenProprietary
Context window205K128K
Max output131K4K
Input $ / M tokens$0.60$10
Output $ / M tokens$2.20$30
Results tracked2936

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Category by category

Coding GLM-4.6 leads

GLM-4.6: 40.1 (#148), GPT-4 Turbo: 33.8 (#249)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Coding14491268
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1340—
SciCode38.4%—
WeirdML—18%
BigCodeBench Instruct—48.2%
BigCodeBench Complete—58.2%
ALE-Bench340.82—
HumanEval+—86.6%
MBPP+—73.3%

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), GPT-4 Turbo: —

BenchmarkGLM-4.6GPT-4 Turbo
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—
METR Time Horizons—36.7%

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), GPT-4 Turbo: 15.3 (#317)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Hard Prompts14401251
SimpleBench—25.1%
Kagi LLM Benchmark47.4%—
CritPt1.1%—
Chess Puzzles—6%
DTBench—61.6%
LMCA—9.8%
Epoch Capabilities Index—127.25
ForecastBench—59.4

Math GLM-4.6 leads

GLM-4.6: 39.1 (#111), GPT-4 Turbo: 9.0 (#322)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Math14321272
FrontierMath (Tiers 1-3)—0.7%
OTIS Mock AIME 2024-2025—6.7%
MATH Level 5—46.7%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), GPT-4 Turbo: 24.3 (#268)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Expert14311223
GPQA Diamond—46.6%
Confabulations—28.4%
Vectara Hallucination Rate9.5%—
MMLU—81.3%

Multimodal Not comparable

GLM-4.6: —, GPT-4 Turbo: 30.6 (#110)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Vision—1090

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), GPT-4 Turbo: 40.5 (#216)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Non-English14261245
LMArena Chinese14991242
LMArena French14591276
LMArena German14471259
LMArena Japanese13931194
LMArena Korean14001187
LMArena Russian14191259
LMArena Spanish14361260

Instruction Following GLM-4.6 leads

GLM-4.6: 74.3 (#98), GPT-4 Turbo: 65.8 (#216)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Instruction Following14101249

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#94), GPT-4 Turbo: 38.0 (#206)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Longer Query14221254

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.1 (#90), GPT-4 Turbo: 47.7 (#206)

BenchmarkGLM-4.6GPT-4 Turbo
LMArena Text14401272
LMArena Creative Writing14111269
LMArena Multi-Turn14271267
EQ-Bench Creative Writing1411—

Frequently asked questions

Is GLM-4.6 better than GPT-4 Turbo?

GLM-4.6 is the stronger model overall, scoring 41.4 to 30.5 on the Noometry Index.

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

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-4 Turbo lists at $10 and $30.

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

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 128K.

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

17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-4 Turbo has 36.

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