Noometry

Model comparison

GLM-5.3 vs GPT-5.1-Codex-mini

GLM-5.3 has enough public results to be ranked (#26); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

GPT-5.1-Codex-mini OpenAI

37.3

Unranked Sparse

Summary

  • They share 1 benchmark with published results for both. GLM-5.3 scores higher in 1 category and GPT-5.1-Codex-mini in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where GLM-5.3 leads 59.5 to 31.6.
  • GPT-5.1-Codex-mini is cheaper at $0.25 / $2 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
  • GLM-5.3 accepts more context: 1M tokens versus 400K.
  • GLM-5.3 has downloadable open weights; the other is API-only.

Side by side

GLM-5.3GPT-5.1-Codex-mini
ProviderZ.ai (Zhipu)OpenAI
Noometry Index54.837.3
Released2026-08-142025-11-12
WeightsOpenProprietary
Context window1M400K
Max output131K128K
Input $ / M tokens$1.40$0.25
Output $ / M tokens$4.40$2
Results tracked422

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Category by category

Coding GLM-5.3 leads

GLM-5.3: 59.5 (#14), GPT-5.1-Codex-mini: 31.6

BenchmarkGLM-5.3GPT-5.1-Codex-mini
LMArena WebDev16221244
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
LMArena Coding1496—
ALE-Bench1,317—

Agentic & Tool Use GPT-5.1-Codex-mini leads

GLM-5.3: 36.4 (#38), GPT-5.1-Codex-mini: 38.5

BenchmarkGLM-5.3GPT-5.1-Codex-mini
Terminal-Bench—61.6%
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning Not comparable

GLM-5.3: 46.1 (#46), GPT-5.1-Codex-mini: —

BenchmarkGLM-5.3GPT-5.1-Codex-mini
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
LMArena Hard Prompts1489—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.61—

Math Not comparable

GLM-5.3: 62.3 (#33), GPT-5.1-Codex-mini: —

BenchmarkGLM-5.3GPT-5.1-Codex-mini
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LMArena Math1489—

Knowledge Not comparable

GLM-5.3: 58.3 (#37), GPT-5.1-Codex-mini: —

BenchmarkGLM-5.3GPT-5.1-Codex-mini
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1516—

Multilingual Not comparable

GLM-5.3: 55.7 (#28), GPT-5.1-Codex-mini: —

BenchmarkGLM-5.3GPT-5.1-Codex-mini
LMArena Non-English1457—
LMArena Chinese1528—
LMArena French1499—
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—
LMArena Russian1463—
LMArena Spanish1460—

Instruction Following Not comparable

GLM-5.3: 77.5 (#23), GPT-5.1-Codex-mini: —

BenchmarkGLM-5.3GPT-5.1-Codex-mini
LMArena Instruction Following1477—

Long Context Not comparable

GLM-5.3: 45.4 (#41), GPT-5.1-Codex-mini: —

BenchmarkGLM-5.3GPT-5.1-Codex-mini
LMArena Longer Query1482—

Writing & Preference Not comparable

GLM-5.3: 75.7 (#6), GPT-5.1-Codex-mini: —

BenchmarkGLM-5.3GPT-5.1-Codex-mini
LMArena Text1471—
LMArena Creative Writing1457—
EQ-Bench Creative Writing2075—
LMArena Multi-Turn1472—

Frequently asked questions

Is GLM-5.3 better than GPT-5.1-Codex-mini?

GLM-5.3 has enough public results to be ranked (#26); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.

Which is cheaper, GLM-5.3 or GPT-5.1-Codex-mini?

GPT-5.1-Codex-mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

Is GLM-5.3 or GPT-5.1-Codex-mini better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.5 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 400K.

How many benchmarks do GLM-5.3 and GPT-5.1-Codex-mini share?

1 benchmark has published results for both models. GLM-5.3 has 42 scored results on Noometry and GPT-5.1-Codex-mini has 2.

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