Noometry

Model comparison

GLM-5V-Turbo vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 49.2 to 43.1 on the Noometry Index. GLM-5V-Turbo costs 2.1× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.1

Rank #86 Confirmed

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-5V-Turbo scores higher in 4 categories and GPT-6 Sol in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 28.5.
  • GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 200K.

Side by side

GLM-5V-TurboGPT-6 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index43.149.2
Released2026-04-012026-09-22
WeightsProprietaryProprietary
Context window200K1.05M
Max output131K128K
Input $ / M tokens$1.20$2
Output $ / M tokens$4$10
Results tracked1922

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Category by category

Coding GPT-6 Sol leads

GLM-5V-Turbo: 41.8 (#105), GPT-6 Sol: 59.6 (#11)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena WebDev14001692
LMArena Coding14671453
DeepSWE—68.8%
FrontierCode—49.3%

Agentic & Tool Use Not comparable

GLM-5V-Turbo: —, GPT-6 Sol: 33.5 (#49)

BenchmarkGLM-5V-TurboGPT-6 Sol
GDP.pdf—28%

Reasoning GPT-6 Sol leads

GLM-5V-Turbo: 28.5 (#87), GPT-6 Sol: 49.3 (#34)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Hard Prompts14431420
NYT Connections (extended)—90.1%
EBR-Bench—53.3%

Math Too close to call

GLM-5V-Turbo: 36.6 (#109), GPT-6 Sol: 35.8 (#135)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Math14401404

Knowledge GPT-6 Sol leads

GLM-5V-Turbo: 39.9 (#113), GPT-6 Sol: 43.0 (#87)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Expert14511449
Vectara Hallucination Rate—6.5%

Multimodal GPT-6 Sol leads

GLM-5V-Turbo: 40.1 (#41), GPT-6 Sol: 47.6 (#9)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Vision1264—
Furniture Assembly—58.3%
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.2 (#69), GPT-6 Sol: 51.0 (#113)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Non-English14201389
LMArena Chinese14881416
LMArena Russian14321407
LMArena Spanish14461377
LMArena French1443—
LMArena German1422—
LMArena Korean1399—

Instruction Following Too close to call

GLM-5V-Turbo: 75.1 (#75), GPT-6 Sol: 74.4 (#97)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Instruction Following14221406

Long Context Too close to call

GLM-5V-Turbo: 44.0 (#76), GPT-6 Sol: 43.2 (#100)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Longer Query14391415

Writing & Preference GPT-6 Sol leads

GLM-5V-Turbo: 62.6 (#69), GPT-6 Sol: 72.3 (#15)

BenchmarkGLM-5V-TurboGPT-6 Sol
LMArena Text14371396
LMArena Creative Writing14141392
LMArena Multi-Turn14321405
EQ-Bench Creative Writing—2125

Frequently asked questions

Is GLM-5V-Turbo better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 43.1 on the Noometry Index. GLM-5V-Turbo costs 2.1× 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-5V-Turbo or GPT-6 Sol?

GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is GLM-5V-Turbo or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 41.8 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 200K.

How many benchmarks do GLM-5V-Turbo and GPT-6 Sol share?

14 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-6 Sol has 22.

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