Noometry

Model comparison

Claude 3 Sonnet vs GLM-4.7

GLM-4.7 is the stronger model overall, scoring 42.0 to 29.0 on the Noometry Index.

Last verified . 20 shared benchmarks.

Claude 3 Sonnet Anthropic

29.0

Rank #319 Confirmed

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Claude 3 Sonnet scores higher in 0 categories and GLM-4.7 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7 leads 38.6 to 10.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.5% for Claude 3 Sonnet and 83.3% for GLM-4.7.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

Claude 3 SonnetGLM-4.7
ProviderAnthropicZ.ai (Zhipu)
Noometry Index29.042.0
Released2024-02-292025-12-22
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked3036

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Category by category

Coding GLM-4.7 leads

Claude 3 Sonnet: 29.6 (#302), GLM-4.7: 44.0 (#79)

BenchmarkClaude 3 SonnetGLM-4.7
LMArena Coding12231454
LMArena WebDev—1435
SciCode—45.1%
WeirdML10.2%—
BigCodeBench Instruct42.7%—
BigCodeBench Complete53.8%—
ALE-Bench—399.48
HumanEval+64%—
MBPP+69.3%—

Agentic & Tool Use Not comparable

Claude 3 Sonnet: —, GLM-4.7: 26.5 (#103)

BenchmarkClaude 3 SonnetGLM-4.7
Terminal-Bench—33.4%
Vending-Bench 2—2,377

Reasoning GLM-4.7 leads

Claude 3 Sonnet: 20.5 (#237), GLM-4.7: 24.3 (#164)

BenchmarkClaude 3 SonnetGLM-4.7
LMArena Hard Prompts11971443
Epoch Capabilities Index120.7143.51
SimpleBench—47.7%
CritPt—1.7%
Chess Puzzles—6%
DTBench53.6%—
WinoGrande75.1%—

Math GLM-4.7 leads

Claude 3 Sonnet: 10.7 (#310), GLM-4.7: 38.6 (#135)

BenchmarkClaude 3 SonnetGLM-4.7
OTIS Mock AIME 2024-20252.5%83.3%
LMArena Math12131423
ProofBench—6%
MATH Level 518.2%—
FrontierMath (Feb 2025 set)—2.4%
FrontierMath Tier 4 (v1)—0%

Knowledge GLM-4.7 leads

Claude 3 Sonnet: 21.1 (#276), GLM-4.7: 47.0 (#80)

BenchmarkClaude 3 SonnetGLM-4.7
GPQA Diamond40.6%83.3%
LMArena Expert11731424
SimpleQA Verified—32.2%
Vectara Hallucination Rate—11.7%
MMLU75.9%—

Multimodal Not comparable

Claude 3 Sonnet: 25.2 (#125), GLM-4.7: —

BenchmarkClaude 3 SonnetGLM-4.7
LMArena Vision984—

Multilingual GLM-4.7 leads

Claude 3 Sonnet: 37.8 (#234), GLM-4.7: 52.8 (#79)

BenchmarkClaude 3 SonnetGLM-4.7
LMArena Non-English12051417
LMArena Chinese11891495
LMArena French12291432
LMArena German12041424
LMArena Japanese11311439
LMArena Korean11281399
LMArena Russian12271423
LMArena Spanish12041434

Instruction Following GLM-4.7 leads

Claude 3 Sonnet: 62.8 (#235), GLM-4.7: 74.4 (#95)

BenchmarkClaude 3 SonnetGLM-4.7
LMArena Instruction Following11991411

Long Context GLM-4.7 leads

Claude 3 Sonnet: 36.7 (#228), GLM-4.7: 42.8 (#116)

BenchmarkClaude 3 SonnetGLM-4.7
LMArena Longer Query12111432
CL-bench—15.9%
CL-bench Life—10.9%

Writing & Preference GLM-4.7 leads

Claude 3 Sonnet: 42.1 (#238), GLM-4.7: 60.9 (#93)

BenchmarkClaude 3 SonnetGLM-4.7
LMArena Text12181435
LMArena Creative Writing11861401
LMArena Multi-Turn12271446
EQ-Bench Creative Writing—1413

Frequently asked questions

Is Claude 3 Sonnet better than GLM-4.7?

GLM-4.7 is the stronger model overall, scoring 42.0 to 29.0 on the Noometry Index.

Is Claude 3 Sonnet or GLM-4.7 better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 29.6 in the Noometry coding category.

How many benchmarks do Claude 3 Sonnet and GLM-4.7 share?

20 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and GLM-4.7 has 36.

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