Noometry

Model comparison

Claude 3.5 Haiku vs GLM-4.6V

GLM-4.6V is the stronger model overall, scoring 41.3 to 29.2 on the Noometry Index.

Last verified . 12 shared benchmarks.

Claude 3.5 Haiku Anthropic

29.2

Rank #315 Confirmed

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and GLM-4.6V in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.6V leads 38.0 to 18.7.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

Claude 3.5 HaikuGLM-4.6V
ProviderAnthropicZ.ai (Zhipu)
Noometry Index29.241.3
Released2024-10-222025-12-08
WeightsProprietaryOpen
Context window—128K
Max output—33K
Input $ / M tokens—$0.30
Output $ / M tokens—$0.90
Results tracked4912

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-4.6V leads

Claude 3.5 Haiku: 32.9 (#265), GLM-4.6V: 40.9 (#128)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Coding12861390
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-4.6V: —

BenchmarkClaude 3.5 HaikuGLM-4.6V
BALROG19.3%—

Reasoning GLM-4.6V leads

Claude 3.5 Haiku: 17.7 (#290), GLM-4.6V: 27.6 (#115)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Hard Prompts12511368
CritPt0%—
LiveBench Reasoning28.1%—
DTBench56.7%—
LiveBench Data Analysis48.5%—
Epoch Capabilities Index127.15—
LiveBench43.5%—

Math Not comparable

Claude 3.5 Haiku: 14.7 (#300), GLM-4.6V: —

BenchmarkClaude 3.5 HaikuGLM-4.6V
OTIS Mock AIME 2024-20254.3%—
Omni-MATH22.4%—
LiveBench Math35.5%—
LMArena Math1244—
MATH Level 546.4%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge GLM-4.6V leads

Claude 3.5 Haiku: 18.7 (#281), GLM-4.6V: 38.0 (#149)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Expert12081371
GPQA Diamond38.1%—
MMLU-Pro60.5%—
Confabulations36.7%—
GPQA (HELM)36.3%—
MMLU74.3%—

Multimodal GLM-4.6V leads

Claude 3.5 Haiku: 26.8 (#117), GLM-4.6V: 34.8 (#90)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Vision10921164
GeoBench34%—

Multilingual GLM-4.6V leads

Claude 3.5 Haiku: 40.0 (#218), GLM-4.6V: 48.6 (#141)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Non-English12381359
LMArena Chinese12291425
LMArena Russian12531340
LMArena French1264—
LMArena German1237—
LMArena Japanese1175—
LMArena Korean1173—
LMArena Spanish1261—

Instruction Following GLM-4.6V leads

Claude 3.5 Haiku: 62.9 (#234), GLM-4.6V: 71.4 (#151)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Instruction Following12411352
LiveBench Instruction Following61.9%—
IFEval79.2%—

Long Context GLM-4.6V leads

Claude 3.5 Haiku: 38.3 (#200), GLM-4.6V: 41.3 (#143)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Longer Query12611358

Writing & Preference GLM-4.6V leads

Claude 3.5 Haiku: 42.7 (#234), GLM-4.6V: 56.6 (#137)

BenchmarkClaude 3.5 HaikuGLM-4.6V
LMArena Text12551377
LMArena Creative Writing12331347
LMArena Multi-Turn12651360
Short-Story Creative Writing73.5%—
EQ-Bench Creative Writing1146—
WildBench76%—
LiveBench Language35.4%—

Frequently asked questions

Is Claude 3.5 Haiku better than GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 41.3 to 29.2 on the Noometry Index.

Is Claude 3.5 Haiku or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 32.9 in the Noometry coding category.

How many benchmarks do Claude 3.5 Haiku and GLM-4.6V share?

12 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GLM-4.6V has 12.

Related comparisons

Go deeper