Noometry

Model comparison

GLM-4.5 vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 41.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

41.4

Rank #125 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 0 categories and GLM-5.3-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 35.5.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 131K.

Side by side

GLM-4.5GLM-5.3-Flash
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index41.449.6
Released2025-07-272026-08-20
WeightsOpenOpen
Context window131K1M
Max output98K131K
Input $ / M tokens$0.60$0.15
Output $ / M tokens$2.20$0.50
Results tracked2736

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Category by category

Coding GLM-5.3-Flash leads

GLM-4.5: 41.1 (#121), GLM-5.3-Flash: 53.7 (#26)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Coding14341506
ALE-Bench344.82303.55
DeepSWE—63.4%
FrontierCode—31.8%
SWE-bench Verified (bash only)54.2%—
LMArena WebDev—1614
SciCode—51.6%
WeirdML40.6%—
AlgoTune1.52—

Agentic & Tool Use Not comparable

GLM-4.5: —, GLM-5.3-Flash: 34.3 (#41)

BenchmarkGLM-4.5GLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

GLM-4.5: 27.7 (#99), GLM-5.3-Flash: 31.7 (#69)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Hard Prompts14301490
Kagi LLM Benchmark57.9%—
CritPt—15.4%
Chess Puzzles—14%
Mystery Game Puzzles—8%
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
Epoch Capabilities Index—151.9

Math GLM-5.3-Flash leads

GLM-4.5: 36.3 (#119), GLM-5.3-Flash: 53.1 (#38)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Math14271499
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%

Knowledge GLM-5.3-Flash leads

GLM-4.5: 35.5 (#172), GLM-5.3-Flash: 58.4 (#33)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Expert14331512
GPQA Diamond—90.2%
Humanity's Last Exam8.3%—
Confabulations11.3%—

Multimodal Not comparable

GLM-4.5: —, GLM-5.3-Flash: 42.6 (#25)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Vision—1304

Multilingual GLM-5.3-Flash leads

GLM-4.5: 53.0 (#74), GLM-5.3-Flash: 56.2 (#24)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Non-English14171462
LMArena Chinese14651529
LMArena French14231495
LMArena German14061457
LMArena Japanese14161420
LMArena Korean13821443
LMArena Russian14141472
LMArena Spanish14541471

Instruction Following GLM-5.3-Flash leads

GLM-4.5: 74.3 (#100), GLM-5.3-Flash: 77.8 (#17)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Instruction Following14051480

Long Context GLM-5.3-Flash leads

GLM-4.5: 38.2 (#196), GLM-5.3-Flash: 45.3 (#41)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Longer Query14131479
Fiction.LiveBench58.3%—

Writing & Preference GLM-5.3-Flash leads

GLM-4.5: 57.7 (#121), GLM-5.3-Flash: 65.4 (#49)

BenchmarkGLM-4.5GLM-5.3-Flash
LMArena Text14301471
LMArena Creative Writing13951440
LMArena Multi-Turn14151471
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—

Frequently asked questions

Is GLM-4.5 better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 41.4 on the Noometry Index.

Which is cheaper, GLM-4.5 or GLM-5.3-Flash?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

Is GLM-4.5 or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 41.1 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 131K.

How many benchmarks do GLM-4.5 and GLM-5.3-Flash share?

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GLM-5.3-Flash has 36.

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