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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

GLM-4.5

Zhipu AI

GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

Google

Gemma 2 9B

Google

2024-06-27

GLM-4.5

Zhipu AI

2025-07-28

1 year newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 9B

Max Context:-
Parameters:9.2B

GLM-4.5

Larger context
Max Context:262.1K
Parameters:355.0B

Performance comparison across key benchmark categories

Google

Gemma 2 9B

math
52.6%
reasoning
+38.7%
79.7%
general
66.4%
code
48.5%

GLM-4.5

math
+45.6%
98.2%
reasoning
41.1%
general
+13.0%
79.3%
code
+2.2%
50.7%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 9B

0 providers

GLM-4.5

1 providers

DeepInfra

Google

Gemma 2 9B

Avg Score:0.0%
Providers:0

GLM-4.5

Avg Score:0.0%
Providers:1