Model comparison

Claude 3.5 Haiku vs GLM-4.5

GLM-4.5 is the stronger model overall, scoring 42.0 to 29.2 on the Noometry Index.

Last verified . 21 shared benchmarks.

Claude 3.5 Haiku Anthropic

29.2

Rank #315 Confirmed

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 1 category and GLM-4.5 in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5 leads 39.0 to 14.7.
  • The biggest single-benchmark swing is Confabulations: 36.7% for Claude 3.5 Haiku and 11.3% for GLM-4.5.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

Claude 3.5 Haiku and GLM-4.5 specifications
Claude 3.5 HaikuGLM-4.5
ProviderAnthropicZ.ai (Zhipu)
Noometry Index29.242.0
Released2024-10-222025-07-27
WeightsProprietaryOpen
Context window—131K
Max output—98K
Input $ / M tokens—$0.60
Output $ / M tokens—$2.20
Results tracked4927

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Category by category

Coding GLM-4.5 leads

Claude 3.5 Haiku: 32.9 (#265), GLM-4.5: 41.4 (#125)

Coding benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
WeirdML30.7%40.6%
LMArena Coding12861434
SWE-bench Verified (bash only)—54.2%
Aider Polyglot28%—
SciCode27.4%—
BigCodeBench Instruct46.1%—
LiveBench Coding51.4%—
BigCodeBench Complete59%—
CadEval32%—
ALE-Bench—344.82
AlgoTune—1.52

Agentic & Tool Use Not comparable

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

Agentic & Tool Use benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
BALROG19.3%—

Reasoning GLM-4.5 leads

Claude 3.5 Haiku: 17.7 (#290), GLM-4.5: 28.6 (#100)

Reasoning benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
LMArena Hard Prompts12511429
Kagi LLM Benchmark—57.9%
CritPt0%—
LiveBench Reasoning28.1%—
DTBench56.7%—
LiveBench Data Analysis48.5%—
Epoch Capabilities Index127.15—
LiveBench43.5%—

Math GLM-4.5 leads

Claude 3.5 Haiku: 14.7 (#300), GLM-4.5: 39.0 (#116)

Math benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
LMArena Math12441427
OTIS Mock AIME 2024-20254.3%—
Omni-MATH22.4%—
LiveBench Math35.5%—
MATH Level 546.4%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge GLM-4.5 leads

Claude 3.5 Haiku: 18.7 (#281), GLM-4.5: 35.9 (#179)

Knowledge benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
Confabulations36.7%11.3%
LMArena Expert12081433
GPQA Diamond38.1%—
Humanity's Last Exam—8.3%
MMLU-Pro60.5%—
GPQA (HELM)36.3%—
MMLU74.3%—

Multimodal Not comparable

Claude 3.5 Haiku: 26.8 (#117), GLM-4.5: —

Multimodal benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
LMArena Vision1092—
GeoBench34%—

Multilingual GLM-4.5 leads

Claude 3.5 Haiku: 40.0 (#218), GLM-4.5: 52.8 (#77)

Multilingual benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
LMArena Non-English12381417
LMArena Chinese12291465
LMArena French12641418
LMArena German12371407
LMArena Japanese11751415
LMArena Korean11731380
LMArena Russian12531414
LMArena Spanish12611454

Instruction Following GLM-4.5 leads

Claude 3.5 Haiku: 62.9 (#234), GLM-4.5: 74.1 (#104)

Instruction Following benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
LMArena Instruction Following12411404
LiveBench Instruction Following61.9%—
IFEval79.2%—

Long Context Too close to call

Claude 3.5 Haiku: 38.3 (#200), GLM-4.5: 38.2 (#201)

Long Context benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
LMArena Longer Query12611412
Fiction.LiveBench—58.3%

Writing & Preference GLM-4.5 leads

Claude 3.5 Haiku: 42.7 (#234), GLM-4.5: 57.5 (#127)

Writing & Preference benchmarks
BenchmarkClaude 3.5 HaikuGLM-4.5
LMArena Text12551430
LMArena Creative Writing12331395
Short-Story Creative Writing73.5%73.4%
EQ-Bench Creative Writing11461343
LMArena Multi-Turn12651415
WildBench76%—
LiveBench Language35.4%—

Frequently asked questions

Is Claude 3.5 Haiku better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 29.2 on the Noometry Index.

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

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 32.9 in the Noometry coding category.

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

21 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GLM-4.5 has 27.

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