Noometry

Model comparison

GLM-5.3-Flash vs GPT-5.1

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 49.0 on the Noometry Index.

Last verified . 29 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

GPT-5.1 OpenAI

49.0

Rank #53 Confirmed

Summary

  • They share 29 benchmarks with published results for both. GLM-5.3-Flash scores higher in 7 categories and GPT-5.1 in 3 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 39.8.
  • The biggest single-benchmark swing is ARC-AGI-2: 65.8% for GLM-5.3-Flash and 17.6% for GPT-5.1.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 400K.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashGPT-5.1
ProviderZ.ai (Zhipu)OpenAI
Noometry Index51.849.0
Released2026-08-202025-11-13
WeightsOpenProprietary
Context window1M400K
Max output131K128K
Input $ / M tokens$0.15$1.25
Output $ / M tokens$0.50$10
Results tracked4063

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), GPT-5.1: 46.4 (#66)

BenchmarkGLM-5.3-FlashGPT-5.1
LMArena WebDev16091395
SciCode51.6%43.3%
LMArena Coding15081454
ALE-Bench303.551,192
SWE-bench Verified—68%
DeepSWE63.4%—
FrontierCode31.8%—
SWE-bench Verified (bash only)—66%
CursorBench36.8%—
FrontierSWE18.1%—
GSO—13.7%
WeirdML—60.8%
LiveBench Coding—72.5%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.2 (#47), GPT-5.1: 32.7 (#60)

BenchmarkGLM-5.3-FlashGPT-5.1
Terminal-Bench—47.6%
APEX-Agents52.8%—
DeepResearch Bench—42.8%
GDP.pdf14%—
LMArena Search—1199
Vending-Bench 2—1,473

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), GPT-5.1: 39.8 (#58)

BenchmarkGLM-5.3-FlashGPT-5.1
ARC-AGI-265.8%17.6%
ARC-AGI-191%72.8%
CritPt15.4%4.9%
Chess Puzzles14%32%
LMArena Hard Prompts14911457
Mystery Game Puzzles8%19%
Epoch Capabilities Index151.88149.64
SimpleBench—53.2%
EnigmaEval—11.2%
LiveBench Reasoning—95.8%
DTBench—90.1%
LiveBench Data Analysis—72.1%
LMCA—43.9%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
ForecastBench—58.1
LiveBench—78.8%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), GPT-5.1: 52.2 (#51)

BenchmarkGLM-5.3-FlashGPT-5.1
OTIS Mock AIME 2024-202593.9%88.6%
LMArena Math15001447
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
ProofBench21%—
Omni-MATH—46.4%
LiveBench Math—94.5%
FrontierMath (Feb 2025 set)—31%
FrontierMath Tier 4 (v1)—12.5%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), GPT-5.1: 50.6 (#71)

BenchmarkGLM-5.3-FlashGPT-5.1
GPQA Diamond90.2%87.6%
LMArena Expert15131470
Humanity's Last Exam—23.7%
SimpleQA Verified—48%
MMLU-Pro—57.9%
Vectara Hallucination Rate—10.9%
GPQA (HELM)—44.2%

Multimodal GPT-5.1 leads

GLM-5.3-Flash: 42.8 (#27), GPT-5.1: 44.8 (#19)

BenchmarkGLM-5.3-FlashGPT-5.1
LMArena Vision12961250
VPCT—58.7%
LMArena Document—1403

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), GPT-5.1: 53.8 (#56)

BenchmarkGLM-5.3-FlashGPT-5.1
LMArena Non-English14621431
LMArena Chinese15271495
LMArena French14961450
LMArena German14701438
LMArena Japanese14291453
LMArena Korean14461401
LMArena Russian14691435
LMArena Spanish14711433

Instruction Following GPT-5.1 leads

GLM-5.3-Flash: 77.5 (#20), GPT-5.1: 83.9 (#1)

BenchmarkGLM-5.3-FlashGPT-5.1
LMArena Instruction Following14781443
LiveBench Instruction Following—93.3%
IFEval—93.5%

Long Context GPT-5.1 leads

GLM-5.3-Flash: 45.4 (#39), GPT-5.1: 47.6 (#14)

BenchmarkGLM-5.3-FlashGPT-5.1
LMArena Longer Query14821447
CL-bench—23.7%
CL-bench Life—17.3%

Writing & Preference Too close to call

GLM-5.3-Flash: 65.3 (#50), GPT-5.1: 64.5 (#55)

BenchmarkGLM-5.3-FlashGPT-5.1
LMArena Text14711443
LMArena Creative Writing14421427
LMArena Multi-Turn14671450
WildBench—86.3%
LiveBench Language—80.2%

Frequently asked questions

Is GLM-5.3-Flash better than GPT-5.1?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 49.0 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or GPT-5.1?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GPT-5.1 lists at $1.25 and $10.

Is GLM-5.3-Flash or GPT-5.1 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 46.4 in the Noometry coding category.

Which has the bigger context window?

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

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

29 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and GPT-5.1 has 63.

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