Noometry

Model comparison

Claude 3 Haiku vs GLM-4.5

GLM-4.5 is the stronger model overall, scoring 42.0 to 25.9 on the Noometry Index.

Last verified . 21 shared benchmarks.

Claude 3 Haiku Anthropic

25.9

Rank #340 Confirmed

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and GLM-4.5 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5 leads 39.0 to 9.8.
  • The biggest single-benchmark swing is WeirdML: 9.8% for Claude 3 Haiku and 40.6% for GLM-4.5.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

Claude 3 HaikuGLM-4.5
ProviderAnthropicZ.ai (Zhipu)
Noometry Index25.942.0
Released2024-03-072025-07-27
WeightsProprietaryOpen
Context window—131K
Max output—98K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked3727

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Category by category

Coding GLM-4.5 leads

Claude 3 Haiku: 26.4 (#325), GLM-4.5: 41.4 (#125)

BenchmarkClaude 3 HaikuGLM-4.5
WeirdML9.8%40.6%
LMArena Coding11991434
SWE-bench Verified (bash only)—54.2%
BigCodeBench Instruct39.4%—
BigCodeBench Complete50.1%—
CadEval12%—
ALE-Bench—344.82
AlgoTune—1.52
HumanEval+68.9%—
MBPP+68.8%—

Reasoning GLM-4.5 leads

Claude 3 Haiku: 16.3 (#307), GLM-4.5: 28.6 (#100)

BenchmarkClaude 3 HaikuGLM-4.5
Kagi LLM Benchmark34.2%57.9%
LMArena Hard Prompts11741429
DTBench50.1%—
LMCA8.8%—
Epoch Capabilities Index118.35—
ForecastBench53.2—
WinoGrande74.2%—

Math GLM-4.5 leads

Claude 3 Haiku: 9.8 (#319), GLM-4.5: 39.0 (#116)

BenchmarkClaude 3 HaikuGLM-4.5
LMArena Math11881427
OTIS Mock AIME 2024-20251.8%—
MATH Level 514.9%—

Knowledge GLM-4.5 leads

Claude 3 Haiku: 17.3 (#285), GLM-4.5: 35.9 (#179)

BenchmarkClaude 3 HaikuGLM-4.5
Confabulations34.2%11.3%
LMArena Expert11481433
GPQA Diamond36.3%—
Humanity's Last Exam—8.3%
MMLU73.8%—

Multimodal Not comparable

Claude 3 Haiku: 23.6 (#128), GLM-4.5: —

BenchmarkClaude 3 HaikuGLM-4.5
LMArena Vision950—
ScienceQA72%—

Multilingual GLM-4.5 leads

Claude 3 Haiku: 36.0 (#243), GLM-4.5: 52.8 (#77)

BenchmarkClaude 3 HaikuGLM-4.5
LMArena Non-English11781417
LMArena Chinese11551465
LMArena French11951418
LMArena German11741407
LMArena Japanese11021415
LMArena Korean11091380
LMArena Russian12041414
LMArena Spanish11661454

Instruction Following GLM-4.5 leads

Claude 3 Haiku: 61.3 (#247), GLM-4.5: 74.1 (#104)

BenchmarkClaude 3 HaikuGLM-4.5
LMArena Instruction Following11731404

Long Context GLM-4.5 leads

Claude 3 Haiku: 36.1 (#237), GLM-4.5: 38.2 (#201)

BenchmarkClaude 3 HaikuGLM-4.5
LMArena Longer Query11901412
Fiction.LiveBench—58.3%

Writing & Preference GLM-4.5 leads

Claude 3 Haiku: 29.7 (#291), GLM-4.5: 57.5 (#127)

BenchmarkClaude 3 HaikuGLM-4.5
LMArena Text11951430
LMArena Creative Writing11571395
EQ-Bench Creative Writing7171343
LMArena Multi-Turn11901415
Short-Story Creative Writing—73.4%

Frequently asked questions

Is Claude 3 Haiku better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 25.9 on the Noometry Index.

Is Claude 3 Haiku or GLM-4.5 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 26.4 in the Noometry coding category.

How many benchmarks do Claude 3 Haiku and GLM-4.5 share?

21 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GLM-4.5 has 27.

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