Noometry

Model comparison

GLM-4.6 vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 49.2 to 40.9 on the Noometry Index. GLM-4.6 costs 4.0× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.6 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 23.1.
  • GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 205K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6GPT-6 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index40.949.2
Released2025-09-302026-09-22
WeightsOpenProprietary
Context window205K1.05M
Max output131K128K
Input $ / M tokens$0.60$2
Output $ / M tokens$2.20$10
Results tracked2922

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Category by category

Coding GPT-6 Sol leads

GLM-4.6: 39.9 (#137), GPT-6 Sol: 59.6 (#11)

BenchmarkGLM-4.6GPT-6 Sol
LMArena WebDev13391692
LMArena Coding14491453
DeepSWE—68.8%
FrontierCode—49.3%
SWE-bench Verified (bash only)55.4%—
SciCode38.4%—
ALE-Bench340.82—

Agentic & Tool Use GPT-6 Sol leads

GLM-4.6: 32.1 (#60), GPT-6 Sol: 33.5 (#49)

BenchmarkGLM-4.6GPT-6 Sol
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—
GDP.pdf—28%

Reasoning GPT-6 Sol leads

GLM-4.6: 23.1 (#168), GPT-6 Sol: 49.3 (#34)

BenchmarkGLM-4.6GPT-6 Sol
LMArena Hard Prompts14401420
Kagi LLM Benchmark47.4%—
NYT Connections (extended)—90.1%
CritPt1.1%—
EBR-Bench—53.3%

Math Too close to call

GLM-4.6: 36.4 (#115), GPT-6 Sol: 35.8 (#135)

BenchmarkGLM-4.6GPT-6 Sol
LMArena Math14311404
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GPT-6 Sol leads

GLM-4.6: 39.6 (#118), GPT-6 Sol: 43.0 (#87)

BenchmarkGLM-4.6GPT-6 Sol
Vectara Hallucination Rate9.5%6.5%
LMArena Expert14321449

Multimodal Not comparable

GLM-4.6: —, GPT-6 Sol: 47.6 (#9)

BenchmarkGLM-4.6GPT-6 Sol
Furniture Assembly—58.3%

Multilingual GLM-4.6 leads

GLM-4.6: 53.6 (#62), GPT-6 Sol: 51.0 (#113)

BenchmarkGLM-4.6GPT-6 Sol
LMArena Non-English14261389
LMArena Chinese15001416
LMArena Russian14181407
LMArena Spanish14361377
LMArena French1459—
LMArena German1447—
LMArena Japanese1394—
LMArena Korean1401—

Instruction Following Too close to call

GLM-4.6: 74.5 (#93), GPT-6 Sol: 74.4 (#97)

BenchmarkGLM-4.6GPT-6 Sol
LMArena Instruction Following14101406

Long Context Too close to call

GLM-4.6: 43.4 (#91), GPT-6 Sol: 43.2 (#100)

BenchmarkGLM-4.6GPT-6 Sol
LMArena Longer Query14231415

Writing & Preference GPT-6 Sol leads

GLM-4.6: 61.3 (#86), GPT-6 Sol: 72.3 (#15)

BenchmarkGLM-4.6GPT-6 Sol
LMArena Text14401396
LMArena Creative Writing14111392
EQ-Bench Creative Writing14112125
LMArena Multi-Turn14271405

Frequently asked questions

Is GLM-4.6 better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 40.9 on the Noometry Index. GLM-4.6 costs 4.0× 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-4.6 or GPT-6 Sol?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is GLM-4.6 or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 205K.

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

16 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-6 Sol has 22.

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