Model comparison

Gemini 1.5 Pro (May 2024) vs GLM-4.7-Flash

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 32.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

Gemini 1.5 Pro (May 2024) Google

32.1

Rank #261 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 1 category and GLM-4.7-Flash in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 25.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 58.3% for GLM-4.7-Flash.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

Gemini 1.5 Pro (May 2024) and GLM-4.7-Flash specifications
Gemini 1.5 Pro (May 2024)GLM-4.7-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index32.138.8
Released2024-02-152026-01-19
WeightsProprietaryOpen
Context window—200K
Max output—131K
Input $ / M tokens—$0.06
Output $ / M tokens—$0.40
Results tracked4521

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Category by category

Coding GLM-4.7-Flash leads

Gemini 1.5 Pro (May 2024): 34.2 (#241), GLM-4.7-Flash: 40.6 (#135)

Coding benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
LMArena Coding12941383
WeirdML22.2%—
BigCodeBench Instruct43.8%—
BigCodeBench Complete57.5%—
CadEval34%—
HumanEval+79.3%—
MBPP+74.6%—

Agentic & Tool Use Not comparable

Gemini 1.5 Pro (May 2024): 17.9 (#145), GLM-4.7-Flash: —

Agentic & Tool Use benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
TheAgentCompany3.4%—
Cybench7.5%—
BALROG21%—

Reasoning GLM-4.7-Flash leads

Gemini 1.5 Pro (May 2024): 12.3 (#338), GLM-4.7-Flash: 20.9 (#229)

Reasoning benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
LMArena Hard Prompts12961356
ARC-AGI-20.8%—
SimpleBench27.1%—
Chess Puzzles—0%
DTBench59%—
BIG-Bench Hard89.2%—
Epoch Capabilities Index131.73—
ForecastBench58.4—

Math GLM-4.7-Flash leads

Gemini 1.5 Pro (May 2024): 25.8 (#266), GLM-4.7-Flash: 36.1 (#173)

Math benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
OTIS Mock AIME 2024-202523.1%58.3%
LMArena Math13151355
Omni-MATH36.4%—
MATH Level 570.4%—

Knowledge GLM-4.7-Flash leads

Gemini 1.5 Pro (May 2024): 29.4 (#239), GLM-4.7-Flash: 35.5 (#184)

Knowledge benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
GPQA Diamond57.2%60.5%
LMArena Expert12791357
Humanity's Last Exam4.6%—
MMLU-Pro73.7%—
Confabulations13.5%—
Vectara Hallucination Rate—9.3%
GPQA (HELM)53.4%—
MMLU86.9%—

Multimodal Not comparable

Gemini 1.5 Pro (May 2024): 36.8 (#77), GLM-4.7-Flash: —

Multimodal benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
LMArena Vision1161—
Video-MME75%—

Multilingual GLM-4.7-Flash leads

Gemini 1.5 Pro (May 2024): 45.3 (#174), GLM-4.7-Flash: 46.5 (#158)

Multilingual benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
LMArena Non-English13121330
LMArena Chinese13311403
LMArena French13021332
LMArena German12861337
LMArena Korean12981283
LMArena Russian13201332
LMArena Spanish13111350
LMArena Japanese1292—

Instruction Following GLM-4.7-Flash leads

Gemini 1.5 Pro (May 2024): 68.6 (#185), GLM-4.7-Flash: 70.1 (#167)

Instruction Following benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
LMArena Instruction Following12971327
IFEval83.7%—

Long Context GLM-4.7-Flash leads

Gemini 1.5 Pro (May 2024): 39.8 (#169), GLM-4.7-Flash: 40.9 (#148)

Long Context benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
LMArena Longer Query13081345

Writing & Preference Gemini 1.5 Pro (May 2024) leads

Gemini 1.5 Pro (May 2024): 52.4 (#172), GLM-4.7-Flash: 47.4 (#210)

Writing & Preference benchmarks
BenchmarkGemini 1.5 Pro (May 2024)GLM-4.7-Flash
LMArena Text13191351
LMArena Creative Writing13331297
LMArena Multi-Turn12961342
EQ-Bench Creative Writing—1125
WildBench81.3%—

Frequently asked questions

Is Gemini 1.5 Pro (May 2024) better than GLM-4.7-Flash?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 32.1 on the Noometry Index.

Is Gemini 1.5 Pro (May 2024) or GLM-4.7-Flash better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 34.2 in the Noometry coding category.

How many benchmarks do Gemini 1.5 Pro (May 2024) and GLM-4.7-Flash share?

18 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GLM-4.7-Flash has 21.

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