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

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Google

Gemma 2 9B

Google

2024-06-27

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

7 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 9B

general
66.4%
math
52.6%
Alibaba

Qwen2.5 VL 72B Instruct

general
+3.2%
69.6%
math
+3.9%
56.5%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 9B

0 providers
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
Google

Gemma 2 9B

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0