Noometry

Model comparison

GLM-4.5V vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 49.2 to 39.2 on the Noometry Index. GLM-4.5V costs 4.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.2

Rank #158 Confirmed

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and GPT-6 Sol in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 26.5.
  • GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VGPT-6 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index39.249.2
Released2025-08-112026-09-22
WeightsOpenProprietary
Context window64K1.05M
Max output16K128K
Input $ / M tokens$0.60$2
Output $ / M tokens$1.80$10
Results tracked1522

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Category by category

Coding GPT-6 Sol leads

GLM-4.5V: 38.9 (#152), GPT-6 Sol: 59.6 (#11)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Coding13471453
DeepSWE—68.8%
FrontierCode—49.3%
LMArena WebDev—1692

Agentic & Tool Use Not comparable

GLM-4.5V: —, GPT-6 Sol: 33.5 (#49)

BenchmarkGLM-4.5VGPT-6 Sol
GDP.pdf—28%

Reasoning GPT-6 Sol leads

GLM-4.5V: 26.5 (#118), GPT-6 Sol: 49.3 (#34)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Hard Prompts13351420
Kagi LLM Benchmark59.8%—
NYT Connections (extended)—90.1%
EBR-Bench—53.3%

Math GPT-6 Sol leads

GLM-4.5V: 34.7 (#157), GPT-6 Sol: 35.8 (#135)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Math13531404

Knowledge GPT-6 Sol leads

GLM-4.5V: 36.8 (#155), GPT-6 Sol: 43.0 (#87)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Expert13531449
Vectara Hallucination Rate—6.5%

Multimodal GPT-6 Sol leads

GLM-4.5V: 33.6 (#86), GPT-6 Sol: 47.6 (#9)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Vision1154—
Furniture Assembly—58.3%

Multilingual GPT-6 Sol leads

GLM-4.5V: 44.9 (#172), GPT-6 Sol: 51.0 (#113)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Non-English13041389
LMArena Chinese13381416
LMArena Russian12991407
LMArena Spanish13351377

Instruction Following GPT-6 Sol leads

GLM-4.5V: 69.4 (#170), GPT-6 Sol: 74.4 (#97)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Instruction Following13111406

Long Context GPT-6 Sol leads

GLM-4.5V: 39.6 (#166), GPT-6 Sol: 43.2 (#100)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Longer Query13051415

Writing & Preference GPT-6 Sol leads

GLM-4.5V: 52.7 (#162), GPT-6 Sol: 72.3 (#15)

BenchmarkGLM-4.5VGPT-6 Sol
LMArena Text13331396
LMArena Creative Writing12951392
LMArena Multi-Turn13331405
EQ-Bench Creative Writing—2125

Frequently asked questions

Is GLM-4.5V better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 39.2 on the Noometry Index. GLM-4.5V costs 4.4× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5V or GPT-6 Sol?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is GLM-4.5V or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 64K.

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

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-6 Sol has 22.

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