Noometry

Model comparison

Claude 3.5 Haiku vs GLM-4.5V

GLM-4.5V is the stronger model overall, scoring 39.8 to 29.2 on the Noometry Index.

Last verified . 14 shared benchmarks.

Claude 3.5 Haiku Anthropic

29.2

Rank #315 Confirmed

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and GLM-4.5V in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5V leads 37.4 to 14.7.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

Claude 3.5 HaikuGLM-4.5V
ProviderAnthropicZ.ai (Zhipu)
Noometry Index29.239.8
Released2024-10-222025-08-11
WeightsProprietaryOpen
Context window—64K
Max output—16K
Input $ / M tokens—$0.60
Output $ / M tokens—$1.80
Results tracked4915

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Category by category

Coding GLM-4.5V leads

Claude 3.5 Haiku: 32.9 (#265), GLM-4.5V: 39.5 (#155)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Coding12861347
Aider Polyglot28%—
SciCode27.4%—
WeirdML30.7%—
BigCodeBench Instruct46.1%—
LiveBench Coding51.4%—
BigCodeBench Complete59%—
CadEval32%—

Agentic & Tool Use Not comparable

Claude 3.5 Haiku: 28.0 (#95), GLM-4.5V: —

BenchmarkClaude 3.5 HaikuGLM-4.5V
BALROG19.3%—

Reasoning GLM-4.5V leads

Claude 3.5 Haiku: 17.7 (#290), GLM-4.5V: 27.4 (#119)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Hard Prompts12511334
Kagi LLM Benchmark—59.8%
CritPt0%—
LiveBench Reasoning28.1%—
DTBench56.7%—
LiveBench Data Analysis48.5%—
Epoch Capabilities Index127.15—
LiveBench43.5%—

Math GLM-4.5V leads

Claude 3.5 Haiku: 14.7 (#300), GLM-4.5V: 37.4 (#159)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Math12441354
OTIS Mock AIME 2024-20254.3%—
Omni-MATH22.4%—
LiveBench Math35.5%—
MATH Level 546.4%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge GLM-4.5V leads

Claude 3.5 Haiku: 18.7 (#281), GLM-4.5V: 37.5 (#156)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Expert12081353
GPQA Diamond38.1%—
MMLU-Pro60.5%—
Confabulations36.7%—
GPQA (HELM)36.3%—
MMLU74.3%—

Multimodal GLM-4.5V leads

Claude 3.5 Haiku: 26.8 (#117), GLM-4.5V: 34.3 (#92)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Vision10921154
GeoBench34%—

Multilingual GLM-4.5V leads

Claude 3.5 Haiku: 40.0 (#218), GLM-4.5V: 44.6 (#177)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Non-English12381303
LMArena Chinese12291337
LMArena Russian12531298
LMArena Spanish12611336
LMArena French1264—
LMArena German1237—
LMArena Japanese1175—
LMArena Korean1173—

Instruction Following GLM-4.5V leads

Claude 3.5 Haiku: 62.9 (#234), GLM-4.5V: 69.2 (#175)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Instruction Following12411311
LiveBench Instruction Following61.9%—
IFEval79.2%—

Long Context GLM-4.5V leads

Claude 3.5 Haiku: 38.3 (#200), GLM-4.5V: 39.6 (#171)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Longer Query12611304

Writing & Preference GLM-4.5V leads

Claude 3.5 Haiku: 42.7 (#234), GLM-4.5V: 52.5 (#170)

BenchmarkClaude 3.5 HaikuGLM-4.5V
LMArena Text12551333
LMArena Creative Writing12331295
LMArena Multi-Turn12651332
Short-Story Creative Writing73.5%—
EQ-Bench Creative Writing1146—
WildBench76%—
LiveBench Language35.4%—

Frequently asked questions

Is Claude 3.5 Haiku better than GLM-4.5V?

GLM-4.5V is the stronger model overall, scoring 39.8 to 29.2 on the Noometry Index.

Is Claude 3.5 Haiku or GLM-4.5V better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 32.9 in the Noometry coding category.

How many benchmarks do Claude 3.5 Haiku and GLM-4.5V share?

14 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GLM-4.5V has 15.

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