Noometry

Model comparison

GLM-4.6 vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 41.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GLM-4.6 scores higher in 0 categories and GLM-5.3-Flash in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 23.7.
  • The biggest single-benchmark swing is CritPt: 1.1% for GLM-4.6 and 15.4% for GLM-5.3-Flash.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 205K.

Side by side

GLM-4.6GLM-5.3-Flash
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index41.451.8
Released2025-09-302026-08-20
WeightsOpenOpen
Context window205K1M
Max output131K131K
Input $ / M tokens$0.60$0.15
Output $ / M tokens$2.20$0.50
Results tracked2940

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Category by category

Coding GLM-5.3-Flash leads

GLM-4.6: 40.1 (#148), GLM-5.3-Flash: 53.1 (#31)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena WebDev13401609
SciCode38.4%51.6%
LMArena Coding14491508
ALE-Bench340.82303.55
DeepSWE—63.4%
FrontierCode—31.8%
SWE-bench Verified (bash only)55.4%—
CursorBench—36.8%
FrontierSWE—18.1%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-4.6: 32.3 (#66), GLM-5.3-Flash: 34.2 (#47)

BenchmarkGLM-4.6GLM-5.3-Flash
Terminal-Bench24.5%—
APEX-Agents—52.8%
Berkeley Function Calling Leaderboard72.4%—
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

GLM-4.6: 23.7 (#172), GLM-5.3-Flash: 48.0 (#42)

BenchmarkGLM-4.6GLM-5.3-Flash
CritPt1.1%15.4%
LMArena Hard Prompts14401491
ARC-AGI-2—65.8%
Kagi LLM Benchmark47.4%—
ARC-AGI-1—91%
Chess Puzzles—14%
Mystery Game Puzzles—8%
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
Epoch Capabilities Index—151.88

Math GLM-5.3-Flash leads

GLM-4.6: 39.1 (#111), GLM-5.3-Flash: 53.3 (#47)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena Math14321500
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—93.9%
ProofBench—21%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-5.3-Flash leads

GLM-4.6: 40.2 (#124), GLM-5.3-Flash: 58.4 (#36)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena Expert14311513
GPQA Diamond—90.2%
Vectara Hallucination Rate9.5%—

Multimodal Not comparable

GLM-4.6: —, GLM-5.3-Flash: 42.8 (#27)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena Vision—1296

Multilingual GLM-5.3-Flash leads

GLM-4.6: 53.5 (#66), GLM-5.3-Flash: 56.0 (#25)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena Non-English14261462
LMArena Chinese14991527
LMArena French14591496
LMArena German14471470
LMArena Japanese13931429
LMArena Korean14001446
LMArena Russian14191469
LMArena Spanish14361471

Instruction Following GLM-5.3-Flash leads

GLM-4.6: 74.3 (#98), GLM-5.3-Flash: 77.5 (#20)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena Instruction Following14101478

Long Context GLM-5.3-Flash leads

GLM-4.6: 43.4 (#94), GLM-5.3-Flash: 45.4 (#39)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena Longer Query14221482

Writing & Preference GLM-5.3-Flash leads

GLM-4.6: 61.1 (#90), GLM-5.3-Flash: 65.3 (#50)

BenchmarkGLM-4.6GLM-5.3-Flash
LMArena Text14401471
LMArena Creative Writing14111442
LMArena Multi-Turn14271467
EQ-Bench Creative Writing1411—

Frequently asked questions

Is GLM-4.6 better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 41.4 on the Noometry Index.

Which is cheaper, GLM-4.6 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-4.6 lists at $0.60 and $2.20.

Is GLM-4.6 or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 205K.

How many benchmarks do GLM-4.6 and GLM-5.3-Flash share?

21 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GLM-5.3-Flash has 40.

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