Noometry

Model comparison

Claude 3 Haiku vs GLM-4.7-Flash

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 25.9 on the Noometry Index.

Last verified . 19 shared benchmarks.

Claude 3 Haiku Anthropic

25.9

Rank #340 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and GLM-4.7-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 9.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 58.3% for GLM-4.7-Flash.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

Claude 3 HaikuGLM-4.7-Flash
ProviderAnthropicZ.ai (Zhipu)
Noometry Index25.938.8
Released2024-03-072026-01-19
WeightsProprietaryOpen
Context window—200K
Max output—131K
Input $ / M tokens—$0.06
Output $ / M tokens—$0.40
Results tracked3721

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Category by category

Coding GLM-4.7-Flash leads

Claude 3 Haiku: 26.4 (#325), GLM-4.7-Flash: 40.6 (#135)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
LMArena Coding11991383
WeirdML9.8%—
BigCodeBench Instruct39.4%—
BigCodeBench Complete50.1%—
CadEval12%—
HumanEval+68.9%—
MBPP+68.8%—

Reasoning GLM-4.7-Flash leads

Claude 3 Haiku: 16.3 (#307), GLM-4.7-Flash: 20.9 (#229)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
LMArena Hard Prompts11741356
Kagi LLM Benchmark34.2%—
Chess Puzzles—0%
DTBench50.1%—
LMCA8.8%—
Epoch Capabilities Index118.35—
ForecastBench53.2—
WinoGrande74.2%—

Math GLM-4.7-Flash leads

Claude 3 Haiku: 9.8 (#319), GLM-4.7-Flash: 36.1 (#173)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
OTIS Mock AIME 2024-20251.8%58.3%
LMArena Math11881355
MATH Level 514.9%—

Knowledge GLM-4.7-Flash leads

Claude 3 Haiku: 17.3 (#285), GLM-4.7-Flash: 35.5 (#184)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
GPQA Diamond36.3%60.5%
LMArena Expert11481357
Confabulations34.2%—
Vectara Hallucination Rate—9.3%
MMLU73.8%—

Multimodal Not comparable

Claude 3 Haiku: 23.6 (#128), GLM-4.7-Flash: —

BenchmarkClaude 3 HaikuGLM-4.7-Flash
LMArena Vision950—
ScienceQA72%—

Multilingual GLM-4.7-Flash leads

Claude 3 Haiku: 36.0 (#243), GLM-4.7-Flash: 46.5 (#158)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
LMArena Non-English11781330
LMArena Chinese11551403
LMArena French11951332
LMArena German11741337
LMArena Korean11091283
LMArena Russian12041332
LMArena Spanish11661350
LMArena Japanese1102—

Instruction Following GLM-4.7-Flash leads

Claude 3 Haiku: 61.3 (#247), GLM-4.7-Flash: 70.1 (#167)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
LMArena Instruction Following11731327

Long Context GLM-4.7-Flash leads

Claude 3 Haiku: 36.1 (#237), GLM-4.7-Flash: 40.9 (#148)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
LMArena Longer Query11901345

Writing & Preference GLM-4.7-Flash leads

Claude 3 Haiku: 29.7 (#291), GLM-4.7-Flash: 47.4 (#210)

BenchmarkClaude 3 HaikuGLM-4.7-Flash
LMArena Text11951351
LMArena Creative Writing11571297
EQ-Bench Creative Writing7171125
LMArena Multi-Turn11901342

Frequently asked questions

Is Claude 3 Haiku better than GLM-4.7-Flash?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 25.9 on the Noometry Index.

Is Claude 3 Haiku or GLM-4.7-Flash better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 26.4 in the Noometry coding category.

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

19 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GLM-4.7-Flash has 21.

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