Noometry

Model comparison

Claude 3 Haiku vs GLM-5

GLM-5 is the stronger model overall, scoring 46.1 to 25.9 on the Noometry Index.

Last verified . 24 shared benchmarks.

Claude 3 Haiku Anthropic

25.9

Rank #340 Confirmed

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and GLM-5 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5 leads 46.4 to 9.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 80% for GLM-5.
  • GLM-5 has downloadable open weights; the other is API-only.

Side by side

Claude 3 HaikuGLM-5
ProviderAnthropicZ.ai (Zhipu)
Noometry Index25.946.1
Released2024-03-072026-02-11
WeightsProprietaryOpen
Context window—205K
Max output—131K
Input $ / M tokens—$1
Output $ / M tokens—$3.20
Results tracked3745

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Category by category

Coding GLM-5 leads

Claude 3 Haiku: 26.4 (#325), GLM-5: 49.0 (#52)

BenchmarkClaude 3 HaikuGLM-5
WeirdML9.8%48.2%
LMArena Coding11991461
SWE-bench Verified—72.1%
SWE-bench Verified (bash only)—72.8%
LMArena WebDev—1434
SWE-bench Multilingual—69.7%
BigCodeBench Instruct39.4%—
BigCodeBench Complete50.1%—
CadEval12%—
ALE-Bench—765.62
HumanEval+68.9%—
MBPP+68.8%—

Agentic & Tool Use Not comparable

Claude 3 Haiku: —, GLM-5: 31.1 (#71)

BenchmarkClaude 3 HaikuGLM-5
Terminal-Bench—52.4%
τ²-bench Airline—82.5%
τ²-bench Banking—9.8%
τ²-bench Retail—73.7%
τ²-bench Telecom—86.8%
Vending-Bench 2—4,432

Reasoning GLM-5 leads

Claude 3 Haiku: 16.3 (#307), GLM-5: 27.6 (#116)

BenchmarkClaude 3 HaikuGLM-5
Kagi LLM Benchmark34.2%75%
LMArena Hard Prompts11741452
Epoch Capabilities Index118.35145.83
ForecastBench53.261
ARC-AGI-2—4.9%
SimpleBench—53.2%
NYT Connections (extended)—74.8%
ARC-AGI-1—44.7%
Chess Puzzles—10%
DTBench50.1%—
LMCA8.8%—
WinoGrande74.2%—

Math GLM-5 leads

Claude 3 Haiku: 9.8 (#319), GLM-5: 46.4 (#71)

BenchmarkClaude 3 HaikuGLM-5
OTIS Mock AIME 2024-20251.8%80%
LMArena Math11881440
MathArena Final-Answer Competitions—65.7%
MATH Level 514.9%—
FrontierMath (Feb 2025 set)—16.4%
FrontierMath Tier 4 (v1)—2.1%

Knowledge GLM-5 leads

Claude 3 Haiku: 17.3 (#285), GLM-5: 52.3 (#64)

BenchmarkClaude 3 HaikuGLM-5
GPQA Diamond36.3%87.8%
LMArena Expert11481454
Confabulations34.2%—
Vectara Hallucination Rate—10.1%
MMLU73.8%—

Multimodal Not comparable

Claude 3 Haiku: 23.6 (#128), GLM-5: —

BenchmarkClaude 3 HaikuGLM-5
LMArena Vision950—
ScienceQA72%—

Multilingual GLM-5 leads

Claude 3 Haiku: 36.0 (#243), GLM-5: 53.7 (#58)

BenchmarkClaude 3 HaikuGLM-5
LMArena Non-English11781430
LMArena Chinese11551511
LMArena French11951455
LMArena German11741445
LMArena Japanese11021416
LMArena Korean11091423
LMArena Russian12041436
LMArena Spanish11661454

Instruction Following GLM-5 leads

Claude 3 Haiku: 61.3 (#247), GLM-5: 75.2 (#67)

BenchmarkClaude 3 HaikuGLM-5
LMArena Instruction Following11731428

Long Context GLM-5 leads

Claude 3 Haiku: 36.1 (#237), GLM-5: 44.7 (#60)

BenchmarkClaude 3 HaikuGLM-5
LMArena Longer Query11901446
CL-bench—18.7%

Writing & Preference GLM-5 leads

Claude 3 Haiku: 29.7 (#291), GLM-5: 66.0 (#38)

BenchmarkClaude 3 HaikuGLM-5
LMArena Text11951446
LMArena Creative Writing11571439
EQ-Bench Creative Writing7171601
LMArena Multi-Turn11901456

Frequently asked questions

Is Claude 3 Haiku better than GLM-5?

GLM-5 is the stronger model overall, scoring 46.1 to 25.9 on the Noometry Index.

Is Claude 3 Haiku or GLM-5 better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 26.4 in the Noometry coding category.

How many benchmarks do Claude 3 Haiku and GLM-5 share?

24 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GLM-5 has 45.

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