Noometry

Model comparison

GLM-4.6 vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 41.4 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)

41.4

Rank #135 Confirmed

GPT-5.3 Chat OpenAI

42.8

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; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 23.7.
  • 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 Index41.442.8
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 GPT-5.3 Chat leads

GLM-4.6: 40.1 (#148), GPT-5.3 Chat: 41.4 (#124)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Coding14491408
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1340—
SciCode38.4%—
ALE-Bench340.82—

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), 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: 23.7 (#172), GPT-5.3 Chat: 28.5 (#102)

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

Math Too close to call

GLM-4.6: 39.1 (#111), GPT-5.3 Chat: 38.2 (#142)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Math14321389
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), GPT-5.3 Chat: 38.8 (#140)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Expert14311397
Vectara Hallucination Rate9.5%—

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), GPT-5.3 Chat: 50.3 (#124)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Non-English14261382
LMArena Chinese14991432
LMArena French14591397
LMArena German14471384
LMArena Japanese13931352
LMArena Korean14001346
LMArena Russian14191400
LMArena Spanish14361371

Instruction Following GLM-4.6 leads

GLM-4.6: 74.3 (#98), GPT-5.3 Chat: 72.8 (#129)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Instruction Following14101378

Long Context Too close to call

GLM-4.6: 43.4 (#94), GPT-5.3 Chat: 42.6 (#120)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Longer Query14221396

Writing & Preference GPT-5.3 Chat leads

GLM-4.6: 61.1 (#90), GPT-5.3 Chat: 63.1 (#68)

BenchmarkGLM-4.6GPT-5.3 Chat
LMArena Text14401389
LMArena Creative Writing14111355
EQ-Bench Creative Writing14111690
LMArena Multi-Turn14271412

Frequently asked questions

Is GLM-4.6 better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 41.4 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?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 40.1 in the Noometry coding category.

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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