Noometry

Model comparison

Gemini 1.5 Flash (May 2024) vs GLM-4.6V

GLM-4.6V is the stronger model overall, scoring 41.3 to 33.2 on the Noometry Index.

Last verified . 12 shared benchmarks.

Gemini 1.5 Flash (May 2024) Google

33.2

Rank #246 Confirmed

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 1 category and GLM-4.6V in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.6V leads 38.0 to 26.2.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

Gemini 1.5 Flash (May 2024)GLM-4.6V
ProviderGoogleZ.ai (Zhipu)
Noometry Index33.241.3
Released2024-05-142025-12-08
WeightsProprietaryOpen
Context window—128K
Max output—33K
Input $ / M tokens—$0.30
Output $ / M tokens—$0.90
Results tracked4212

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Category by category

Coding GLM-4.6V leads

Gemini 1.5 Flash (May 2024): 34.4 (#236), GLM-4.6V: 40.9 (#128)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Coding12611390
WeirdML24.9%—
BigCodeBench Instruct43.5%—
BigCodeBench Complete55.1%—
HumanEval+75.6%—
MBPP+67.5%—

Agentic & Tool Use Not comparable

Gemini 1.5 Flash (May 2024): 26.6 (#102), GLM-4.6V: —

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
BALROG14.6%—

Reasoning GLM-4.6V leads

Gemini 1.5 Flash (May 2024): 21.7 (#215), GLM-4.6V: 27.6 (#115)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Hard Prompts12571368
DTBench53.8%—
Epoch Capabilities Index129.36—
ForecastBench53.9—
PIQA87.5%—

Math Not comparable

Gemini 1.5 Flash (May 2024): 22.1 (#281), GLM-4.6V: —

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
OTIS Mock AIME 2024-202516.3%—
Omni-MATH30.4%—
LMArena Math1269—
MATH Level 561.9%—
FrontierMath (Feb 2025 set)0%—
GSM8K82.4%—

Knowledge GLM-4.6V leads

Gemini 1.5 Flash (May 2024): 26.2 (#260), GLM-4.6V: 38.0 (#149)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Expert12331371
GPQA Diamond47.3%—
MMLU-Pro67.8%—
GPQA (HELM)43.7%—
BoolQ85.8%—
MMLU77.9%—

Multimodal Gemini 1.5 Flash (May 2024) leads

Gemini 1.5 Flash (May 2024): 36.0 (#81), GLM-4.6V: 34.8 (#90)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Vision11411164
Video-MME70.3%—
GeoBench76%—

Multilingual GLM-4.6V leads

Gemini 1.5 Flash (May 2024): 42.9 (#189), GLM-4.6V: 48.6 (#141)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Non-English12781359
LMArena Chinese12951425
LMArena Russian12881340
LMArena French1258—
LMArena German1262—
LMArena Japanese1252—
LMArena Korean1221—
LMArena Spanish1243—

Instruction Following GLM-4.6V leads

Gemini 1.5 Flash (May 2024): 66.8 (#205), GLM-4.6V: 71.4 (#151)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Instruction Following12581352
IFEval83.1%—

Long Context GLM-4.6V leads

Gemini 1.5 Flash (May 2024): 39.0 (#187), GLM-4.6V: 41.3 (#143)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Longer Query12841358

Writing & Preference GLM-4.6V leads

Gemini 1.5 Flash (May 2024): 48.7 (#196), GLM-4.6V: 56.6 (#137)

BenchmarkGemini 1.5 Flash (May 2024)GLM-4.6V
LMArena Text12871377
LMArena Creative Writing12851347
LMArena Multi-Turn12531360
WildBench79.2%—

Frequently asked questions

Is Gemini 1.5 Flash (May 2024) better than GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 41.3 to 33.2 on the Noometry Index.

Is Gemini 1.5 Flash (May 2024) or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 34.4 in the Noometry coding category.

How many benchmarks do Gemini 1.5 Flash (May 2024) and GLM-4.6V share?

12 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GLM-4.6V has 12.

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