Noometry

Model comparison

GLM-4.6V vs GPT-6 Luna

GPT-6 Luna is the stronger model overall, scoring 53.3 to 41.3 on the Noometry Index.

Last verified . 12 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

GPT-6 Luna OpenAI

53.3

Rank #36 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Luna leads 48.2 to 27.6.
  • GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
  • GPT-6 Luna accepts more context: 1.05M tokens versus 128K.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

GLM-4.6VGPT-6 Luna
ProviderZ.ai (Zhipu)OpenAI
Noometry Index41.353.3
Released2025-12-082026-09-22
WeightsOpenProprietary
Context window128K1.05M
Max output33K128K
Input $ / M tokens$0.30$0.10
Output $ / M tokens$0.90$0.50
Results tracked1242

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

Category by category

Coding GPT-6 Luna leads

GLM-4.6V: 40.9 (#128), GPT-6 Luna: 55.5 (#25)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Coding13901439
DeepSWE—66.6%
FrontierCode—42.4%
LMArena WebDev—1581
SciCode—54.6%
ALE-Bench—1,577

Agentic & Tool Use Not comparable

GLM-4.6V: —, GPT-6 Luna: 33.3 (#54)

BenchmarkGLM-4.6VGPT-6 Luna
APEX-Agents—44.3%
GDP.pdf—23%

Reasoning GPT-6 Luna leads

GLM-4.6V: 27.6 (#115), GPT-6 Luna: 48.2 (#41)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Hard Prompts13681411
ARC-AGI-2—59.3%
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 Not comparable

GLM-4.6V: —, GPT-6 Luna: 76.1 (#15)

BenchmarkGLM-4.6VGPT-6 Luna
FrontierMath (Tiers 1-3)—78.9%
FrontierMath Tier 4—56.1%
OTIS Mock AIME 2024-2025—98.9%
ProofBench—64%
LMArena Math—1416

Knowledge GPT-6 Luna leads

GLM-4.6V: 38.0 (#149), GPT-6 Luna: 57.0 (#41)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Expert13711444
GPQA Diamond—90.5%
SimpleQA Verified—41.4%

Multimodal GPT-6 Luna leads

GLM-4.6V: 34.8 (#90), GPT-6 Luna: 42.4 (#30)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Vision11641217
Blueprint-Bench 2—31.2%
Furniture Assembly—44.2%

Multilingual GPT-6 Luna leads

GLM-4.6V: 48.6 (#141), GPT-6 Luna: 50.5 (#117)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Non-English13591386
LMArena Chinese14251433
LMArena Russian13401394
LMArena French—1420
LMArena German—1369
LMArena Japanese—1369
LMArena Korean—1360
LMArena Spanish—1393

Instruction Following GPT-6 Luna leads

GLM-4.6V: 71.4 (#151), GPT-6 Luna: 74.3 (#99)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Instruction Following13521409

Long Context GPT-6 Luna leads

GLM-4.6V: 41.3 (#143), GPT-6 Luna: 43.0 (#111)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Longer Query13581409

Writing & Preference GPT-6 Luna leads

GLM-4.6V: 56.6 (#137), GPT-6 Luna: 58.3 (#119)

BenchmarkGLM-4.6VGPT-6 Luna
LMArena Text13771391
LMArena Creative Writing13471363
LMArena Multi-Turn13601396

Frequently asked questions

Is GLM-4.6V better than GPT-6 Luna?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 41.3 on the Noometry Index.

Which is cheaper, GLM-4.6V 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-4.6V lists at $0.30 and $0.90.

Is GLM-4.6V or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 40.9 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 128K.

How many benchmarks do GLM-4.6V and GPT-6 Luna share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and GPT-6 Luna has 42.

Related comparisons

Go deeper