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.

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Google

Gemma 2 9B

Google

2024-06-27

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

6 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 9B

general
+46.0%
66.4%
math
52.6%
Alibaba

QvQ-72B-Preview

general
20.4%
math
+1.0%
53.6%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 9B

0 providers
Alibaba

QvQ-72B-Preview

0 providers
Google

Gemma 2 9B

Avg Score:0.0%
Providers:0
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0