Noometry

Model comparison

Claude 3 Sonnet vs GLM-5.3-Flash

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.0 on the Noometry Index.

Last verified . 21 shared benchmarks.

Claude 3 Sonnet Anthropic

29.0

Rank #319 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude 3 Sonnet 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 math, where GLM-5.3-Flash leads 53.3 to 10.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.5% for Claude 3 Sonnet and 93.9% for GLM-5.3-Flash.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

Claude 3 SonnetGLM-5.3-Flash
ProviderAnthropicZ.ai (Zhipu)
Noometry Index29.051.8
Released2024-02-292026-08-20
WeightsProprietaryOpen
Context window—1M
Max output—131K
Input $ / M tokens—$0.15
Output $ / M tokens—$0.50
Results tracked3040

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Category by category

Coding GLM-5.3-Flash leads

Claude 3 Sonnet: 29.6 (#302), GLM-5.3-Flash: 53.1 (#31)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
LMArena Coding12231508
DeepSWE—63.4%
FrontierCode—31.8%
CursorBench—36.8%
LMArena WebDev—1609
FrontierSWE—18.1%
SciCode—51.6%
WeirdML10.2%—
BigCodeBench Instruct42.7%—
BigCodeBench Complete53.8%—
ALE-Bench—303.55
HumanEval+64%—
MBPP+69.3%—

Agentic & Tool Use Not comparable

Claude 3 Sonnet: —, GLM-5.3-Flash: 34.2 (#47)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
APEX-Agents—52.8%
GDP.pdf—14%

Reasoning GLM-5.3-Flash leads

Claude 3 Sonnet: 20.5 (#237), GLM-5.3-Flash: 48.0 (#42)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
LMArena Hard Prompts11971491
Epoch Capabilities Index120.7151.88
ARC-AGI-2—65.8%
ARC-AGI-1—91%
CritPt—15.4%
Chess Puzzles—14%
Mystery Game Puzzles—8%
DTBench53.6%—
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
WinoGrande75.1%—

Math GLM-5.3-Flash leads

Claude 3 Sonnet: 10.7 (#310), GLM-5.3-Flash: 53.3 (#47)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
OTIS Mock AIME 2024-20252.5%93.9%
LMArena Math12131500
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—17.1%
ProofBench—21%
MATH Level 518.2%—

Knowledge GLM-5.3-Flash leads

Claude 3 Sonnet: 21.1 (#276), GLM-5.3-Flash: 58.4 (#36)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
GPQA Diamond40.6%90.2%
LMArena Expert11731513
MMLU75.9%—

Multimodal GLM-5.3-Flash leads

Claude 3 Sonnet: 25.2 (#125), GLM-5.3-Flash: 42.8 (#27)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
LMArena Vision9841296

Multilingual GLM-5.3-Flash leads

Claude 3 Sonnet: 37.8 (#234), GLM-5.3-Flash: 56.0 (#25)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
LMArena Non-English12051462
LMArena Chinese11891527
LMArena French12291496
LMArena German12041470
LMArena Japanese11311429
LMArena Korean11281446
LMArena Russian12271469
LMArena Spanish12041471

Instruction Following GLM-5.3-Flash leads

Claude 3 Sonnet: 62.8 (#235), GLM-5.3-Flash: 77.5 (#20)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
LMArena Instruction Following11991478

Long Context GLM-5.3-Flash leads

Claude 3 Sonnet: 36.7 (#228), GLM-5.3-Flash: 45.4 (#39)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
LMArena Longer Query12111482

Writing & Preference GLM-5.3-Flash leads

Claude 3 Sonnet: 42.1 (#238), GLM-5.3-Flash: 65.3 (#50)

BenchmarkClaude 3 SonnetGLM-5.3-Flash
LMArena Text12181471
LMArena Creative Writing11861442
LMArena Multi-Turn12271467

Frequently asked questions

Is Claude 3 Sonnet better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 29.0 on the Noometry Index.

Is Claude 3 Sonnet or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 29.6 in the Noometry coding category.

How many benchmarks do Claude 3 Sonnet and GLM-5.3-Flash share?

21 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and GLM-5.3-Flash has 40.

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