Noometry

Model comparison

GLM-4.6 vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 40.9 on the Noometry Index. GLM-4.6 costs 4.8× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.6 scores higher in 5 categories and GPT-5.3 Chat in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.3 Chat leads 27.3 to 23.1.
  • GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GLM-4.6 accepts more context: 205K tokens versus 128K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6GPT-5.3 Chat
ProviderZ.ai (Zhipu)OpenAI
Noometry Index40.942.1
Released2025-09-302026-03-03
WeightsOpenProprietary
Context window205K128K
Max output131K16K
Input $ / M tokens$0.60$1.75
Output $ / M tokens$2.20$14
Results tracked2918

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Category by category

Coding Too close to call

GLM-4.6: 39.9 (#137), GPT-5.3 Chat: 40.8 (#124)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Coding14491408
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1339—
SciCode38.4%—
ALE-Bench340.82—

Agentic & Tool Use Not comparable

GLM-4.6: 32.1 (#60), GPT-5.3 Chat: —

BenchmarkGLM-4.6GPT-5.3 Chat
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—

Reasoning GPT-5.3 Chat leads

GLM-4.6: 23.1 (#168), GPT-5.3 Chat: 27.3 (#105)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Hard Prompts14401399
Kagi LLM Benchmark47.4%—
CritPt1.1%—

Math Too close to call

GLM-4.6: 36.4 (#115), GPT-5.3 Chat: 35.4 (#146)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Math14311389
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 39.6 (#118), GPT-5.3 Chat: 38.2 (#137)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Expert14321397
Vectara Hallucination Rate9.5%—

Multilingual GLM-4.6 leads

GLM-4.6: 53.6 (#62), GPT-5.3 Chat: 50.5 (#119)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Non-English14261383
LMArena Chinese15001433
LMArena French14591398
LMArena German14471384
LMArena Japanese13941351
LMArena Korean14011347
LMArena Russian14181400
LMArena Spanish14361371

Instruction Following GLM-4.6 leads

GLM-4.6: 74.5 (#93), GPT-5.3 Chat: 73.0 (#124)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Instruction Following14101378

Long Context Too close to call

GLM-4.6: 43.4 (#91), GPT-5.3 Chat: 42.6 (#115)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Longer Query14231396

Writing & Preference GPT-5.3 Chat leads

GLM-4.6: 61.3 (#86), GPT-5.3 Chat: 63.3 (#65)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Text14401389
LMArena Creative Writing14111356
EQ-Bench Creative Writing14111690
LMArena Multi-Turn14271413

Frequently asked questions

Is GLM-4.6 better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 40.9 on the Noometry Index. GLM-4.6 costs 4.8× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Which is cheaper, GLM-4.6 or GPT-5.3 Chat?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GLM-4.6 or GPT-5.3 Chat better for coding?

They score almost the same on coding (39.9 vs 40.8); test both on your own repository before choosing.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 128K.

How many benchmarks do GLM-4.6 and GPT-5.3 Chat share?

18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-5.3 Chat has 18.

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