Noometry

Model comparison

GLM-5.3 vs GPT-5.3 Chat

GLM-5.3 is the stronger model overall, scoring 54.6 to 42.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.6

Rank #25 Confirmed

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-5.3 scores higher in 8 categories and GPT-5.3 Chat in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3 leads 62.1 to 35.4.
  • GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GLM-5.3 accepts more context: 1M tokens versus 128K.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3GPT-5.3 Chat
ProviderZ.ai (Zhipu)OpenAI
Noometry Index54.642.1
Released2026-08-142026-03-03
WeightsOpenProprietary
Context window1M128K
Max output131K16K
Input $ / M tokens$1.40$1.75
Output $ / M tokens$4.40$14
Results tracked4118

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.0 (#12), GPT-5.3 Chat: 40.8 (#124)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Coding14991408
DeepSWE69%—
FrontierCode40.1%—
LMArena WebDev1623—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.3 (#34), GPT-5.3 Chat: —

BenchmarkGLM-5.3GPT-5.3 Chat
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 45.2 (#42), GPT-5.3 Chat: 27.3 (#105)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Hard Prompts14911399
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.56—

Math GLM-5.3 leads

GLM-5.3: 62.1 (#27), GPT-5.3 Chat: 35.4 (#146)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Math14931389
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—

Knowledge GLM-5.3 leads

GLM-5.3: 58.3 (#34), GPT-5.3 Chat: 38.2 (#137)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Expert15121397
GPQA Diamond90.9%—
SimpleQA Verified41%—

Multilingual GLM-5.3 leads

GLM-5.3: 55.9 (#27), GPT-5.3 Chat: 50.5 (#119)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Non-English14571383
LMArena Chinese15231433
LMArena French14991398
LMArena German15051384
LMArena Japanese14381351
LMArena Korean14781347
LMArena Russian14601400
LMArena Spanish14441371

Instruction Following GLM-5.3 leads

GLM-5.3: 77.8 (#15), GPT-5.3 Chat: 73.0 (#124)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Instruction Following14811378

Long Context GLM-5.3 leads

GLM-5.3: 45.5 (#32), GPT-5.3 Chat: 42.6 (#115)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Longer Query14851396

Writing & Preference GLM-5.3 leads

GLM-5.3: 75.9 (#6), GPT-5.3 Chat: 63.3 (#65)

BenchmarkGLM-5.3GPT-5.3 Chat
LMArena Text14731389
LMArena Creative Writing14591356
EQ-Bench Creative Writing20751690
LMArena Multi-Turn14731413

Frequently asked questions

Is GLM-5.3 better than GPT-5.3 Chat?

GLM-5.3 is the stronger model overall, scoring 54.6 to 42.1 on the Noometry Index.

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

GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

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

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 40.8 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 128K.

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

18 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and GPT-5.3 Chat has 18.

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