Noometry

Model comparison

GLM-4.5 vs GPT-6 Luna

GPT-6 Luna is the stronger model overall, scoring 53.3 to 42.0 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 1 category and GPT-6 Luna in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Luna leads 76.1 to 39.0.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 131K.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

GLM-4.5GPT-6 Luna
ProviderZ.ai (Zhipu)OpenAI
Noometry Index42.053.3
Released2025-07-272026-09-22
WeightsOpenProprietary
Context window131K1.05M
Max output98K128K
Input $ / M tokens$0.60$0.10
Output $ / M tokens$2.20$0.50
Results tracked2742

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6 Luna leads

GLM-4.5: 41.4 (#125), GPT-6 Luna: 55.5 (#25)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Coding14341439
ALE-Bench344.821,577
DeepSWE—66.6%
FrontierCode—42.4%
SWE-bench Verified (bash only)54.2%—
LMArena WebDev—1581
SciCode—54.6%
WeirdML40.6%—
AlgoTune1.52—

Agentic & Tool Use Not comparable

GLM-4.5: —, GPT-6 Luna: 33.3 (#54)

BenchmarkGLM-4.5GPT-6 Luna
APEX-Agents—44.3%
GDP.pdf—23%

Reasoning GPT-6 Luna leads

GLM-4.5: 28.6 (#100), GPT-6 Luna: 48.2 (#41)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Hard Prompts14291411
ARC-AGI-2—59.3%
Kagi LLM Benchmark57.9%—
NYT Connections (extended)—68.7%
ARC-AGI-1—86.7%
CritPt—19.4%
Chess Puzzles—31%
Mystery Game Puzzles—7%
DTBench—90.1%
LMCA—44.5%
Epoch Capabilities Index—156.28

Math GPT-6 Luna leads

GLM-4.5: 39.0 (#116), GPT-6 Luna: 76.1 (#15)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Math14271416
FrontierMath (Tiers 1-3)—78.9%
FrontierMath Tier 4—56.1%
OTIS Mock AIME 2024-2025—98.9%
ProofBench—64%

Knowledge GPT-6 Luna leads

GLM-4.5: 35.9 (#179), GPT-6 Luna: 57.0 (#41)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Expert14331444
GPQA Diamond—90.5%
Humanity's Last Exam8.3%—
SimpleQA Verified—41.4%
Confabulations11.3%—

Multimodal Not comparable

GLM-4.5: —, GPT-6 Luna: 42.4 (#30)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Vision—1217
Blueprint-Bench 2—31.2%
Furniture Assembly—44.2%

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), GPT-6 Luna: 50.5 (#117)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Non-English14171386
LMArena Chinese14651433
LMArena French14181420
LMArena German14071369
LMArena Japanese14151369
LMArena Korean13801360
LMArena Russian14141394
LMArena Spanish14541393

Instruction Following Too close to call

GLM-4.5: 74.1 (#104), GPT-6 Luna: 74.3 (#99)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Instruction Following14041409

Long Context GPT-6 Luna leads

GLM-4.5: 38.2 (#201), GPT-6 Luna: 43.0 (#111)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Longer Query14121409
Fiction.LiveBench58.3%—

Writing & Preference Too close to call

GLM-4.5: 57.5 (#127), GPT-6 Luna: 58.3 (#119)

BenchmarkGLM-4.5GPT-6 Luna
LMArena Text14301391
LMArena Creative Writing13951363
LMArena Multi-Turn14151396
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—

Frequently asked questions

Is GLM-4.5 better than GPT-6 Luna?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 42.0 on the Noometry Index.

Which is cheaper, GLM-4.5 or GPT-6 Luna?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

Is GLM-4.5 or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 131K.

How many benchmarks do GLM-4.5 and GPT-6 Luna share?

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GPT-6 Luna has 42.

Related comparisons

Go deeper