Noometry

Model comparison

Claude 3.5 Haiku vs GLM-4.7-Flash

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.2 on the Noometry Index.

Last verified . 19 shared benchmarks.

Claude 3.5 Haiku Anthropic

29.2

Rank #315 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Claude 3.5 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 14.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 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 3.5 HaikuGLM-4.7-Flash
ProviderAnthropicZ.ai (Zhipu)
Noometry Index29.238.8
Released2024-10-222026-01-19
WeightsProprietaryOpen
Context window—200K
Max output—131K
Input $ / M tokens—$0.06
Output $ / M tokens—$0.40
Results tracked4921

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Category by category

Coding GLM-4.7-Flash leads

Claude 3.5 Haiku: 32.9 (#265), GLM-4.7-Flash: 40.6 (#135)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
LMArena Coding12861383
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-4.7-Flash: —

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
BALROG19.3%—

Reasoning GLM-4.7-Flash leads

Claude 3.5 Haiku: 17.7 (#290), GLM-4.7-Flash: 20.9 (#229)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
LMArena Hard Prompts12511356
CritPt0%—
Chess Puzzles—0%
LiveBench Reasoning28.1%—
DTBench56.7%—
LiveBench Data Analysis48.5%—
Epoch Capabilities Index127.15—
LiveBench43.5%—

Math GLM-4.7-Flash leads

Claude 3.5 Haiku: 14.7 (#300), GLM-4.7-Flash: 36.1 (#173)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
OTIS Mock AIME 2024-20254.3%58.3%
LMArena Math12441355
Omni-MATH22.4%—
LiveBench Math35.5%—
MATH Level 546.4%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge GLM-4.7-Flash leads

Claude 3.5 Haiku: 18.7 (#281), GLM-4.7-Flash: 35.5 (#184)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
GPQA Diamond38.1%60.5%
LMArena Expert12081357
MMLU-Pro60.5%—
Confabulations36.7%—
Vectara Hallucination Rate—9.3%
GPQA (HELM)36.3%—
MMLU74.3%—

Multimodal Not comparable

Claude 3.5 Haiku: 26.8 (#117), GLM-4.7-Flash: —

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
LMArena Vision1092—
GeoBench34%—

Multilingual GLM-4.7-Flash leads

Claude 3.5 Haiku: 40.0 (#218), GLM-4.7-Flash: 46.5 (#158)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
LMArena Non-English12381330
LMArena Chinese12291403
LMArena French12641332
LMArena German12371337
LMArena Korean11731283
LMArena Russian12531332
LMArena Spanish12611350
LMArena Japanese1175—

Instruction Following GLM-4.7-Flash leads

Claude 3.5 Haiku: 62.9 (#234), GLM-4.7-Flash: 70.1 (#167)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
LMArena Instruction Following12411327
LiveBench Instruction Following61.9%—
IFEval79.2%—

Long Context GLM-4.7-Flash leads

Claude 3.5 Haiku: 38.3 (#200), GLM-4.7-Flash: 40.9 (#148)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
LMArena Longer Query12611345

Writing & Preference GLM-4.7-Flash leads

Claude 3.5 Haiku: 42.7 (#234), GLM-4.7-Flash: 47.4 (#210)

BenchmarkClaude 3.5 HaikuGLM-4.7-Flash
LMArena Text12551351
LMArena Creative Writing12331297
EQ-Bench Creative Writing11461125
LMArena Multi-Turn12651342
Short-Story Creative Writing73.5%—
WildBench76%—
LiveBench Language35.4%—

Frequently asked questions

Is Claude 3.5 Haiku better than GLM-4.7-Flash?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 29.2 on the Noometry Index.

Is Claude 3.5 Haiku or GLM-4.7-Flash better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 32.9 in the Noometry coding category.

How many benchmarks do Claude 3.5 Haiku and GLM-4.7-Flash share?

19 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and GLM-4.7-Flash has 21.

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